Journal articles: 'Smart mirror'

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Athawale, Deepa. "IoT Based Digital Smart Mirror." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31513.

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Everyone knows what a mirror is. It is an object found in most people’s homes. In mirrors we see our reflections. But what happens when you combine the idea of a mirror with technology. Here smart mirror comes in picture. This project has been developed with the idea of making home smart to save time and make your mirror more productive. The device that has been researched and designed is called Smart Mirror. It is a wall mounted mirror which displays relevant items to the user such as weather, time, date, temperature, humidity and news and other fields of interest. Smart Mirror emerged the idea of remotely monitoring objects through the Internet. This mirror is intended to collect this information during the preparation of a morning routine in order to do so more efficiently and easily. As technology advances, smart mirrors will eventually replace traditional mirrors, providing users with both mirror and computer-assisted information services.

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Dandhare, Harshak. "SMART MIRROR USING RASPBERRY." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30334.

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The project shows the design of a smart device-Smart Mirror. The smart mirror here is mainly for home environment. These smart mirrors are not widely used due to cost or high requirements of hardware. The proposed smart mirror will be operated by Raspberry Pi and will be connected by real world through internet. The smart mirror will consist Raspberry-Pi, LED monitor, speakers, microphone with two-way mirror and acrylic glass. With the help of voice recognition API the mirror will communicate with the user through voice commands and responds them accordingly. The mirror will highlight some basic amenities like time, local news, weather, etc. The mirror will also perform some advance function such as Home Automation using Smart Mirror. This mirror with artificial intelligence will provide an extraordinary experience to the user.

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Rishi, Bhate, Gondhali Jyoti, M.B Gulame, Nangude Ankita, and Ladage Shrinik. "Innovative Smart Mirror." Journal of Signal Processing 6, no. 1 (2020): 23–26. https://doi.org/10.5281/zenodo.3690830.

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A Smart Mirror is the most Advance Technology in the market. In view of the client studies and model performance, we present the development of an enhancing machine that fuses intelligent directions of data, offered through a UI on the surface of a mirror. It is a custombuilt mirror activity that is both a mirror and a display. It takes data from the web including time, climate, stock reports, quotes and more to stay up with the latest. The sharp mirrors, which continue to work today and will take place in upcoming technology, provide users with both mirror and computer-assisted information services to the person. These systems can be connected to the Web, and the data in certain locations on the mirror may transmit data. The smart mirror is built by using the controller named as Raspberry pi 3B controller. This device takes the Weather condition, time, day and date information from the Web services using putty software. The smart mirror is also able to display the Youtube videos and we can also give the access of our mobile phone. This all activity is done by using the USB microphone in which we can give the verbal command to our mirror.   

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Jayasree, M. Anjana B. Anjali Ann Thomas &. Asst Aseena A. "IoT BASED SMART MIRROR." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY NACETEC' 19 (April 6, 2019): 102–6. https://doi.org/10.5281/zenodo.2631597.

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The paper describes the design, construction and working of the smart mirror. Smart Mirror is one of the applications of Raspberry Pi. A computer screen embedded in mirror looks very futuristic. The Raspberry Pi stays at back scenes and controls the data displayed on mirror. While looking at mirror you can look at various notifications from social sites as well news, weather forecast and more things. Such mirrors can be programmed to work as AI and control home appliances by voice input or touch screen. The Raspberry Pi is connected to monitor via HDMI as well as it also has inbuilt Wi-Fi and Bluetooth interfaces so we can just swipe music and videos to mirror. It is also used for theft detection and for security surveillance in home environment it provides assistance for home automation using IoT

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Saxena, Mr Tilak, Sushant r. Gangwa, Richa Singh, Bhumi Singh Sengar, and Aman Singh Chauhan. "Smart Mirror using Raspberry Pi." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 2109–12. http://dx.doi.org/10.22214/ijraset.2023.49906.

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Abstract: This project has been developed within the context of a time where every day we see more and more connected devices. The Internet transformed our lives by connecting us more easily to information and other people in the virtual world. Mobile phones then became smartphones and since then this concept has erupted and morphed into the Internet of Things, things that connect us to everyday objects. There is no end to objects that could be made “smarter”, some being more suited to this than others. Mirrors, for example, provide a large surface ideal for displaying information and interacting with it. Most people have mirrors at home so the concept of a smart mirror that you can interact with is attractive and has been fantasized about in many futuristic movies. Smart mirrors, such as Magic Mirror and Home Mirror, have been only developed by people in the Maker community, with varying degrees of interactivity. However, so far, the features of these mirrors have been limited. This final year project describes how a smart mirror was built from scratch using a Raspberry Pi for the hardware and custom software built on top of Raspbian, a Linux distribution. The goal of the project was to create a Smart Mirror device that people could interact with but also to further develop the technology so that it would let you install and develop your own applications for it. Overall, results were good because a higher level of interactivity has been achieved by being able to use voice commands, gestures, and smartphones. A few problems arose in the construction and software side of the project, such as the glass not being reflective enough and the gesture recognition being unreliable, but these drawbacks can be addressed by doing more tests and trials to further develop the Smart Mirror

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Ab Latif, Muhammad Syazwan, Ammar Asyraf Ismail, and Asnazulfadhli Zariman. "Smart Mirror for Home Automation." International Journal of Recent Technology and Applied Science 1, no. 1 (2020): 1–11. http://dx.doi.org/10.36079/lamintang.ijortas-0101.55.

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Smart Mirror for Home Automation This research describes the design, construction and working of the smart mirror. Every morning our day begins by watching ourselves at least once in mirror before leaving our homes. We interact with it psychologically to find out how we look and how our attire is. Smart Mirror or Magic Mirror is one of the applications of Raspberry Pi. A computer screen embedded in mirror looks very futuristic. The Raspberry Pi stays at back scenes and controls the data displayed on mirror. While looking at mirror, the user can look at various notifications from social sites as well news, weather forecast and more things. Such mirrors can be programmed to work as control home appliances by voice input. The Raspberry Pi is connected to monitor via HDMI as well as it also has built-in Wi-Fi and Bluetooth interfaces so we can just swipe music and videos to mirror.

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Gayatri, Mohanta. "Development of an Intellectual Cheval Glass." Recent Trends in Analog Design and Digital Devices 6, no. 1 (2023): 1–5. https://doi.org/10.5281/zenodo.7714757.

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In this era of globalization, one of the innovations for a futuristic physical entity that is connected to many applications is the smart mirror. The interactive user interface on the mirror surface is provided by Raspberry Pi 3, which makes the smart mirror an innovative piece of home electronics that combines contextual information with the use of Raspberry Pi 3. In order to create this smart mirror, it is necessary to take care of the process that involves researching smart mirrors, designing both hardware and software, developing a prototype, putting the plan into action, and finally evaluating the results.

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Bhake, Sarthak, Sahil Parekh, Sakshi Kulkarni, Sejal Sayam, Shajjad Shaikh, and Prof Ashwini Barbadekar. "Smart Mirror using IoT and Raspberry Pi." International Journal for Research in Applied Science and Engineering Technology 10, no. 12 (2022): 382–85. http://dx.doi.org/10.22214/ijraset.2022.47880.

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Abstract: Smart mirrors as a concept are growing rapidly. These mirrors directly affect the day to day lives of the people as it provides customization and a luxurious lifestyle. With the help of devices like smart mirrors people are getting exposed to technology and are in turn contributing to a tech supported lifestyle. The smart mirror is one such device where a normal mirror acts as a smart device which consists of a user interface with which the user can interact. This paper proposes a model which is robust and can be utilized by individuals in their day to day lives. The proposed model in this paper is in the form of a mirror developed with a combination of hardware and software. The mirror incorporates Oracle VM Virtual Box which supports the Raspbian OS. The model uses the Magic Mirror Module on the software part to implement different features like Calendar, Music App, Weather Forecast, News etc. These features are implemented using their respective API’s. The proposed model can be scaled to add more and more features thus making it more robust, also the model is very cost effective. With the help of this people would be able to ease their lifestyle a bit and automate things as much as possible.

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Mallick, Suman, Tejpal Singh, and Soumik Podder. "IoT based Smart Mirror Using Raspberry PI." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (2023): 460–67. http://dx.doi.org/10.22214/ijraset.2023.48583.

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Abstract: This paper describes the design, construction and working of an IoT based smart mirror. Every morning our day begins by watching ourselves at least once in mirror before leaving our homes. We interact with it psychologically to find out how we look and how our attire is. Smart Mirror or Magic Mirror is one of the applications of Raspberry Pie. A computer screen embedded in mirror looks very futuristic. The Raspberry Pie stays at back scenes and controls the data displayed on mirror. While looking at mirror you can look at various notifications from social sites as well news, weather forecast and more things. Such mirrors can be programmed to work as AI and control home appliances by voice input or touch screen. The Raspberry Pie is connected to monitor via HDMI as well as it also has inbuilt Wi-Fi and Bluetooth interfaces so we can just swipe music and videos to mirror.

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B, Prashanth. "Smart Mirror." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 4168–72. http://dx.doi.org/10.22214/ijraset.2022.45838.

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Abstract: Smart mirror, which continues to grow vastly, plays an important role in the future technology, providing both the functionalities of a mirror and the smart mirror and the smart feature that’s come with the users. The impact of such emerging technology would completely change the lives of the people on day-to-day basis. In recent years everything is turning smart, such as smart home and smart cities. The smart mirror is one such device where a normal mirror acts as a smart device.

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Nathan, Shelena Soosay, Amelia Sulaiman, Aisha Amila Kamarulzaman, Felicia Tiera, and Mazniha Berahim. "“Brilliantreflect”: smart mirror for smart life." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 3 (2019): 1663. http://dx.doi.org/10.11591/ijece.v9i3.pp1663-1668.

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In this globalization era, smart mirror have been one of the invention to represent futuristic interconnected physical object with several applications. Smart mirror is innovating appliance that incorporates with contextual information which offered the interactive user interface on the surface of a mirror with the use of Raspberry Pi 3. To create this smart mirror the methodology that includes analysis about smart mirror, designing the hardware and software, developing the prototype, implementation and lastly the evaluation phases needs to be take care of. The presentation performed on the mirror will be information such as weather, time and date, holiday calendar, to-do list by mobile synchronization, current traffic of selected area, news feed and compliment as a motivation. Furthermore, our framework also introduces music presentation that use for alarm purpose. In a nutshell, this mirror what we called “Brilliant Reflect” will be convenient to use as it provides various features to the user.

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Shelena, Soosay Nathan, Sulaiman Amelia, Amila Kamarulzaman Aisha, Tiera Felicia, and Berahim Mazniha. ""Brilliantreflect": smart mirror for smart life." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 3 (2019): 1663–68. https://doi.org/10.11591/ijece.v9i3.pp1663-1668.

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In this globalization era, smart mirror have been one of the invention to represent futuristic interconnected physical object with several applications. Smart mirror is innovating appliance that incorporates with contextual information which offered the interactive user interface on the surface of a mirror with the use of Raspberry Pi 3. To create this smart mirror the methodology that includes analysis about smart mirror, designing the hardware and software, developing the prototype, implementation and lastly the evaluation phases needs to be take care of. The presentation performed on the mirror will be information such as weather, time and date, holiday calendar, to-do list by mobile synchronization, current traffic of selected area, news feed and compliment as a motivation. Furthermore, our framework also introduces music presentation that use for alarm purpose. In a nutshell, this mirror what we called “Brilliant Reflect” will be convenient to use as it provides various features to the user.

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N, Lakshminarayan, Niroop B, and R. Manjunatha P. "AI Based Smart Mirror for Home Automation." Shanlax International Journal of Arts, Science and Humanities 6, S1 (2018): 155–57. https://doi.org/10.5281/zenodo.1404499.

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The vision of Ambient Intelligence has brought a new twist to the decade old research and industry initiatives in realizing Smart Environments like Smart homes, Smart localities leading to Smart cities. Artificial intelligence plays a major role in home automation which includes voice assistants, smart mirror, motion detector, automated doors etc makes a person’s life easier. This project is a stepping stone  for the ‘Smart City’ plan taken by our PM. The focus is to develop a smart home  that includes voice assistant as a prominent feature to control various electronics gadgets to carry out daily tasks. As an initiative we have developed a prototype of  Smart mirror using Raspberry pi. Features such as displaying weather forecast, temperature, news feeds and calendar are included in the mirror. These mirrors can be used in Airports, Malls and residential buildings making them smart. There is scope for including many features. The objectives of this projects are to describe the design and development of a futuristic mirror that offers simplified and customizable services to the home environment, the mirror interface provides users with the versatility needed for better management of daily tasks, we can implement  the same thing in Gathering places to provide a better interaction, experience which gives a smarter feel to the user in an existing world.

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Kumar Swamy, Dr PM Shiva, Aditya S, Ashish S Ammanagi, Hemanth Reddy G, and Jeevan S Aradhya. "SMART MIRROR WITH ALEXA USING RASPBERRY PI." International Journal of Engineering Applied Sciences and Technology 6, no. 9 (2022): 275–79. http://dx.doi.org/10.33564/ijeast.2022.v06i09.040.

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This world has been changed with the internet coming into existence where every person holds a smart device and this has become a necessary part in day to day activity. Time is very precious, so people do not waste any time on unnecessary thing. There are indefinite ways to make every object smarter every day. We can consider mirrors which provide a greater surface area which can be the perfect area for displaying information and interacting with it. Every home will definitely have a mirror which can be upgraded to a smart mirror. The smart mirror will have a display screen inside and you would be able to interact with the mirror. The main features would be date, weather, news, holidays, events, home automation, Alexa.

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Hardiyanto, Denny, Galang Wicaksono, Anggoro S. Pramudyo, Rian Fahrizal, and Romi Wiryadinata. "Designing a Smart Mirror as a Laboratory Information Media Using Raspberry Pi." IJITEE (International Journal of Information Technology and Electrical Engineering) 3, no. 3 (2019): 85. http://dx.doi.org/10.22146/ijitee.48436.

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Development of microprocessor technology provides new ideas for creating smart devices, one of which is in the field of smart home. Smart home is a concept of a home integrated with a smart system and supported by technology that enables all work to be more effective and efficient. Mirror is a household device that is beneficial to humans. In this paper, a research on smart mirrors is explained. A smart mirror is a mirror integrated with an intelligent system so that it can display multimedia data originating from the internet using Raspberry as a computing tool, PIR sensor as a tool to control monitors, and DC fans as a tool to control temperature system. In this paper, the mirror was able to display information about time, weather, academic calendar, lab work schedules, prayer schedules, and academic news. A PIR sensor has a good accuracy when the device is placed at 180 cm above the ground and the distance between mirror and humans when mirroring is 70 cm. A DC fan was utilized to stabilize the system temperature in a range of 40 to 50 oC.

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Nidhi, Savaji, and Vyavhare Dhiraj. "Smart Developed Mirror." Recent Trends in Computer Graphics and Multimedia Technology 3, no. 2 (2021): 1–4. https://doi.org/10.5281/zenodo.5547173.

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Smart Mirror is an idea for today’s world where everyone is busy in work all the time. We spend much time in front of the mirror while going out and getting ready every morning. Smart Mirror acts as normal mirror with added features like date and time, weather, news and many more. A smart mirror is a developed mirror. A brilliant mirror is a mix of customary mirror with computerized angles to raise to-date data in the utilization straightforwardly on the mirror surface. We plan to make a smart mirror which gets online information as we get on our phone from Internet like news and weather details by utilizing Internet Of Things (IoT) hardware that is raspberry pi by which we can also identify if any cheat action happen when no one is home. In this paper we are planning a savvy reflect dependent on Raspberry Pi for the home utilizing Internet of Things (IoT) ideas. Raspberry Pi is utilized as a host regulator. Raspberry Pi is associated through Wi-Fi, and data about the climate figure and news will be gotten from the API network interface. Time, date, climate, schedule, and other data are shown on the showcase gadget. The client can likewise interface with the mirror.

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.S, Khurd Aishwarya, Shweta S. Kakade, and R. M. Dalvi. "Futuristic Smart Mirror." International Journal of Computer Sciences and Engineering 7, no. 5 (2019): 569–72. http://dx.doi.org/10.26438/ijcse/v7i5.569572.

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S P, Abinaya, Aanandalakshmi M, and Amy Joanna P. "Motion Activated Smart Mirror – with Real Time Alerts and Notifications." June 2024 6, no. 2 (2024): 148–62. http://dx.doi.org/10.36548/jsws.2024.2.006.

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Smart mirrors combine modern technology with traditional home furnishings, creating a harmonious blend of style and function. These cutting-edge gadgets are revitalizing spaces such as restrooms and dressing rooms, transforming them into interactive information hubs. By combining Telegram notifications with motion detection, the newly presented solution improves the functionality of the smart mirror using ESP8266 NodeMCU boards. The integrated solution uses motion sensors and the popular Telegram communication network to instantly notify users on their smartphones whenever motion is detected near the smart mirror. This innovative approach not only simplifies daily life but also enhances security by alerting users to any movement in front of the mirror, whether it's a family member or a potential intruder. The design and implementation process of this integration, along with its range of applications and implications, are thoroughly examined. From enhancing home automation to strengthening security measures, there are numerous ways to expand the capabilities of these cutting-edge devices and improve user experience by combining motion detection with Telegram notifications in smart mirrors.

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Yong, Ching Yee, and Kang Cheng Phun. "Discover Life: Self-Fabricated Smart Mirror using Microprocessor and OpenCV." Journal of Physics: Conference Series 2609, no. 1 (2023): 012005. http://dx.doi.org/10.1088/1742-6596/2609/1/012005.

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Abstract Nowadays, people are trying hard to live more efficiently and productively by saving more time for daily activities. Mirrors and smartphones are the equipment that we usually use for our daily life. People usually prepare themselves in front of the mirror and at the same time check their phones for updated news, weather forecasts, and schedules, to plan their daily routine, but doing both activities at the same time might cause huge distractions, resulting in more time consumption. The main objective of this project is to develop a Smart Mirror that can provide information and also able to unlock the profile with a face recognition system through a camera. Raspberry Pi is the processor of the Smart Mirror, Python was used to create the connection platform in OpenCV. IR Frame was added to develop the touch function of the mirror. The role of a two-way mirror is to provide transparency for the LCD panel allowing light to pass through the mirror and at the same time as a normal mirror from the other side. The result has proven that time can be saved up from 100-300 % with the help of Smart Mirror. The detection range of the face recognition is within 3 meters with 92 % of accuracy.

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Bianco, Simone, Luigi Celona, Gianluigi Ciocca, et al. "A Smart Mirror for Emotion Monitoring in Home Environments." Sensors 21, no. 22 (2021): 7453. http://dx.doi.org/10.3390/s21227453.

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Smart mirrors are devices that can display any kind of information and can interact with the user using touch and voice commands. Different kinds of smart mirrors exist: general purpose, medical, fashion, and other task specific ones. General purpose smart mirrors are suitable for home environments but the exiting ones offer similar, limited functionalities. In this paper, we present a general-purpose smart mirror that integrates several functionalities, standard and advanced, to support users in their everyday life. Among the advanced functionalities are the capabilities of detecting a person’s emotions, the short- and long-term monitoring and analysis of the emotions, a double authentication protocol to preserve the privacy, and the integration of Alexa Skills to extend the applications of the smart mirrors. We exploit a deep learning technique to develop most of the smart functionalities. The effectiveness of the device is demonstrated by the performances of the implemented functionalities, and the evaluation in terms of its usability with real users.

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Nwokoye, Sandra, Azubuike Aniedu, Chukwunenye Okafor, and Austine Nzemalu. "Design Of Interactive Smart Mirror System for Digital Information Display Based on Multitasking Approach Using Raspberry Pi." Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi 7, no. 2 (2022): 143–47. http://dx.doi.org/10.25139/inform.v7i2.4757.

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The average time humans look in the mirror is in the early morning when they will get ready for work. A person can rarely focus on other activities such as watching television for the latest news, checking the clock for the correct time, or even checking the weather forecast. Therefore, the purpose of this research is to design an interactive smart mirror that functions as a personal digital assistant to provide a schedule of daily activities, including recognizing the owner's face for access to the smart mirror, displaying weather forecasts, displaying the date and time, as well as the latest news. Unlike most smart mirrors in previous studies, this smart mirror design is connected to a facial recognition system. This will work for such security systems that the user will be granted access to the system only when the system detects that it is the owner. The method used in the research is the agile methodology for the project's flexibility and structured work organization. Experiments will be carried out on all test data starting from the accuracy of turning the smart mirror on and off, loading the weather on average 5 seconds after internet connection, making sure the Pi-camera component is active, and checking for face profiles. The system will test the data on each unit individually and as a whole to ensure efficiency and reliability. The experimental results in this study provide an accurate value of 100%.

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A, Jagadamba, Meghana ., and Dharani M. "Smart Mirror using Raspberry Pi." International Journal of Innovative Research in Advanced Engineering 12, no. 04 (2025): 195–200. https://doi.org/10.26562/ijirae.2025.v1204.09.

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A smart mirror built with Raspberry pi offers display solution that supports real-time information. This paper presents a cost-effective smart mirror system developed using a Raspberry Pi and the MagicMirror² platform. The system supports the smart campus initiative by enhancing campus infrastructure with a digital real-time display. It shows live updates like weather, news headlines, Indian holidays, and events at the university using ICS calendar integration. To cut down the costs and to build a budget-friendly mirror, we replace the traditional two-way glass mirror with a one-way mirror film pasted onto an acrylic sheet to produce a mirror effect. The system serves as an easily deployable solution for digital information within the college campus.

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M. V. Vijaya Saradhi, A. Nikitha, D. Bhavana Reddy, G. Akshay Kumar Reddy, and Ch. Sushmitha. "Survey on IOT-based smart mirror with temperature and news." World Journal of Advanced Research and Reviews 16, no. 2 (2022): 998–1001. http://dx.doi.org/10.30574/wjarr.2022.16.2.1258.

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In earlier days, data was accessible through our electronic devices. Our device is similar to the daily mirror, but with advanced technology like displaying the weather forecast, temperature, time, and daily news. Using the Raspberry Pi, data will be displayed on the device. Our planned system permits us to build such mirrors that mirror to receive online news and display the mirror with present temperature, and weather reports. Our device makes use of a raspberry pi primarily based on a total processor board along with presentations that can be interfaced together. We tend to use an exactly modeled panel to construct the outer frame. Then we use specialized glass with a back frame to enclose the system. The frame cavity is currently fitted with precisely positioned mounts for the display housing to be fitted in the mirror. This is often necessary to achieve the desired effect. Currently, we use the raspberry pi to attach web victimization to an IOT circuit through the employment of a Wi-Fi module.

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M., V. Vijaya Saradhi, Nikitha A., Bhavana Reddy D., Akshay Kumar Reddy G., and Sushmitha Ch. "Survey on IOT-based smart mirror with temperature and news." World Journal of Advanced Research and Reviews 16, no. 2 (2022): 998–1001. https://doi.org/10.5281/zenodo.7790511.

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In earlier days, data was accessible through our electronic devices. Our device is similar to the daily mirror, but with advanced technology like displaying the weather forecast, temperature, time, and daily news. Using the Raspberry Pi, data will be displayed on the device. Our planned system permits us to build such mirrors that mirror to receive online news and display the mirror with present temperature, and weather reports. Our device makes use of a raspberry pi primarily based on a total processor board along with presentations that can be interfaced together. We tend to use an exactly modeled panel to construct the outer frame. Then we use specialized glass with a back frame to enclose the system. The frame cavity is currently fitted with precisely positioned mounts for the display housing to be fitted in the mirror. This is often necessary to achieve the desired effect. Currently, we use the raspberry pi to attach web victimization to an IOT circuit through the employment of a Wi-Fi module.

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P.V. Kishore Kumar, Naveena Tatapudi, Chandini Kolla, Siva Ram Rayala, and V. P. V. S. Prakash Gupta. "Intelligent Smart Mirror with Voice Recognition and Home Automation." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 12 (2024): 2760–68. https://doi.org/10.47392/irjaeh.2024.0382.

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The Project illustrates the design and development of a clever mirror that shows an exquisite interface for glimpsing data. Intelligent mirror, which continues the workings today, and will take its place in technology forthcoming, provides both mirror and computer-served information amenities to its users. "Smart Mirror System Development" includes weather, time, date, Google Assistant, and Home Automation. It utilizes Raspberry pi-3. Through its microphone, the smart mirror enables voice commands to operate certain devices. The smart mirror displays applications so that you can check the weather, local news, and so on while you're getting ready in the morning. This smart mirror would do smart thinking for the user. This smart mirror aims to reduce and possibly eliminate the need for the user to make time in their daily morning or night routines to check their pc, tablet, or smartphone for the users. The makings of this smart mirror include a microcontroller called Raspberry Pi3 which acts as a brain of the interactive system. The microcontroller would be powdered using Python scripts for mirror software as well as a personal assistant. After installing the software, the function can be accessed via a command line once it is set up. A 10-inch Display would be placed below an acrylic two-way mirror sheet and the model would be placed in an aluminum frame. We will build a separate personal assistant that will be able to recognize and perform speech-to-text operations. The personal assistant is named Jarvis. The project is extensive and AI plays a crucial role in today's world.

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Karacali, Huseyin, Nevzat Donum, and Efecan Cebel. "Personalized and dynamic rear-view mirror adjustment and profiling with voice signature." European Journal of Research and Development 3, no. 4 (2023): 390–413. http://dx.doi.org/10.56038/ejrnd.v3i4.278.

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This paper introduces a novel automated system designed for adjusting automobile rear-view mirrors intelligently by utilizing head pose orientation. In today's increasingly personalized car interiors, ensuring the correct alignment of the rear-view mirror based on the driver's head orientation significantly enhances both safety and driving comfort. Manual adjustment of rear-view mirrors can result in issues such as improper angles and driver distractions. This study aims to automate the rear-view mirror adjustment process by accurately detecting the driver's head position and orientation, thereby mitigating these challenges. The system incorporates a camera within the vehicle's cockpit to track the driver. Raw data captured by the camera undergoes processing using the Perspective-n-Point (PnP) algorithm to determine the driver's head position and orientation. The computed positional information is then employed to precisely align the rear-view mirror, optimizing the field of view and eliminating blind spots. Within a brief timeframe, the system establishes the most suitable mirror settings for any driver. Moreover, it dynamically adapts to changes in the driver's posture during driving, ensuring consistently optimal visibility. Additionally, faster and more comfortable use of this in-car smart system is aimed with voice identification technology. Mirror angle values are kept in memory and can be applied instantly at the driver's request, with driver profiles created with voice identifications. Consequently, this research proposes an innovative application that contributes to the integration and personalization of smart technologies, potentially becoming part of forthcoming automotive cockpit designs.

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M, Azhagiri. "Smart Reflect: A modular Smart Mirror Application Platform." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (2018): 893–97. http://dx.doi.org/10.22214/ijraset.2018.4151.

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Prof. R. J. Sapkal, Prof. Y. R. Dhumal, Joshi Sanskruti, and Jondhale Anushka. "Beyond Reflection: Smart Mirrors in The Internet of Things Era." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 07 (2024): 2059–64. http://dx.doi.org/10.47392/irjaeh.2024.0281.

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As intelligent systems continue to proliferate across various sectors, there's a growing trend towards integrating these technologies into commonplace items, even extending to public spaces and educational institutions. Traditional smart mirrors, such as 3D and salon variants, offer advanced functionalities but are often costly and limited to commercial settings. This paper introduces the development of an intelligent mirror tailored for public spaces and educational institutions, leveraging the versatility and affordability of the Raspberry Pi platform. The proposed intelligent mirror utilizes a Raspberry Pi. When operational, the system connects to the network via WiFi, accessing weather forecasts, dressing indices, time, date, and other essential information from designated API endpoints. This data is then seamlessly displayed on an integrated plasma display. This intelligent mirror boasts compact dimensions, user-friendly operation, and cost-effectiveness, making it an ideal fit for public spaces and educational institutions. Its diverse range of functionalities, including weather forecasting, time/date display, news updates, and note-taking capabilities, enhances its utility and addresses the varied needs of users in these environments.

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Putrada, Aji Gautama, Ikke Dian Oktaviani, Mohamad Nurkamal Fauzan, and Nur Alamsyah. "CNN-LSTM for MFCC-based Speech Recognition on Smart Mirrors for Edge Computing Command." Journal of Dinda : Data Science, Information Technology, and Data Analytics 4, no. 2 (2024): 63–74. http://dx.doi.org/10.20895/dinda.v4i2.1504.

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Smart mirrors are conventional mirrors that are augmented with embedded system capabilities to provide comfort and sophistication for users, including introducing the speech command function. However, existing research still applies the Google Speech API, which utilizes the cloud and provides sub-optimal processing time. Our research aim is to design speech recognition using Mel-frequency cepstral coefficients (MFCC) and convolutional neural network–long short-term memory (CNN-LSTM) to be applied to smart mirror edge devices for optimum processing time. Our first step was to download a synthetic speech recognition dataset consisting of waveform audio files (WAVs) from Kaggle, which included the utterances “left,” “right,” “yes,” “no,” “on,” and “off. ” We then designed speech recognition by involving Fourier transformation and low-pass filtering. We benchmark MFCC with linear predictive coding (LPC) because both are feature extraction methods on speech datasets. Then, we benchmarked CNN-LSTM with LSTM, simple recurrent neural network (RNN), and gated recurrent unit (GRU). Finally, we designed a smart mirror system complete with GUI and functions. The test results show that CNN-LSTM performs better than the three other methods with accuracy, precision, recall, and an f1-score of 0.92. The speech command with the best precision is "no," with a value of 0.940. Meanwhile, the command with the best recall is "off," with a value of 0.963. On the other hand, the speech command with the worst precision and recall is "other," with a value of 0.839. The contribution of this research is a smart mirror whose speech commands are carried out on the edge device with CNN-LSTM.

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Malathy, C., T. Vishal Patro, and M. Gayathri. "Smart mirror with biometric authentication." International Journal of Advanced Intelligence Paradigms 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijaip.2021.10034759.

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Ghag, Pranit, Vineet Kanetkar, and Revathi A. "Smart Mirror using Artificial Intelligence." International Journal of Computer Applications 181, no. 26 (2018): 18–21. http://dx.doi.org/10.5120/ijca2018918073.

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Patro, T. Vishal, M. Gayathri, and C. Malathy. "Smart mirror with biometric authentication." International Journal of Advanced Intelligence Paradigms 20, no. 3/4 (2021): 356. http://dx.doi.org/10.1504/ijaip.2021.119023.

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S, Mrs Preethi. "Smart Mirror with Voice Assistant." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (2019): 1587–89. http://dx.doi.org/10.22214/ijraset.2019.3294.

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Malathy, C., T. Vishal Patro, and M. Gayathri. "Smart mirror with biometric authentication." International Journal of Advanced Intelligence Paradigms 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijaip.2021.10034759.

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Mohd Isham, Muhammad Faris, Azana Hafizah Mohd Aman, Zainab S. Attarbashi, Mohamad Sirajuddin Jalil, and Abdulazeez E. Altaleb. "Smart Mirror Enhancement with RFID." Asia-Pacific Journal of Information Technology and Multimedia 13, no. 01 (2024): 21–32. http://dx.doi.org/10.17576/apjitm-2024-1301-02.

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Choudhari, Vaishnavi, Shruti Gumgaonkar, and Arya Warudkar. "Smart Mirror with Emotion Monitoring." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44436.

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In recent years, the integration of artificial intelligence has revolutionized human-computer interaction by enabling devices to provide personalized user experiences. This study focuses on the development of a Smart Mirror with Emotion Monitoring, which utilizes advanced facial recognition and deep learning algorithms to detect and classify user emotions in real time. By analyzing facial expressions, the system identifies emotional states such as happiness, sadness, surprise, angry, and neutrality. Based on these detected emotions, the mirror responds dynamically by displaying personalized content, including motivational messages, and aiming to enhance mental well-being. Beyond emotional responsiveness, the smart mirror also functions as a daily assistant, offering real-time information such as weather updates, calendar, and emotion monitoring insights. Its applications extend beyond residential use to sectors such as healthcare, retail, and corporate environments, where emotion-based interactions can improve user engagement and experience. In healthcare, for instance, the mirror can assist individuals dealing with stress or mental health conditions by providing therapeutic interactions. Similarly, in commercial settings, the mirror can be integrated into customer service environments to enhance user satisfaction. The proposed system is built using state-of-the-art computer vision techniques, deep learning models, and IoT integration to ensure accurate emotion detection and seamless functionality. A robust dataset is employed to train and optimize the facial recognition model, ensuring high accuracy in emotion classification. To validate the system’s performance, extensive experiments are conducted, evaluating parameters such as detection accuracy, response time, and user satisfaction. The results demonstrate the system’s effectiveness in providing real-time emotional insights and personalized interactions, contributing to the advancement of intelligent assistive technologies. By incorporating emotional intelligence into smart mirror technology, this study bridges the gap between functionality and user-centric design, paving the way for next-generation AI-driven smart devices

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G.S.Kothawale, R. Yadav Krishna, D. Patil Pavan, S. Pawar Vaishali, and D. Yadav Tanuja. "Smart Mirror using AI and Machine Learning." Advancement in Image Processing and Pattern Recognition 3, no. 2 (2020): 1–5. https://doi.org/10.5281/zenodo.3876411.

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The smart mirror is used for traditional activities belongs to the home automation system to the user toward the intelligence life style. It provides the update of the weather casting, news, house updates. It has face Recognition system to unlock the mirror. It has been developed using the Raspberry Pi3 B+ model, two- way mirror and display. We can use mirror for the house security and household purpose. It follows the instruction via the medium of voice commands.

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K, MR ASWIN. "MIRROR MAGIC: REFLECTING INNOVATION FOR EVERYDAY CONVENIENCE USING RASPBERRY PI." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32599.

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Smart is not an adjective anymore, Now it is an used for anything that improves functioning in multi-device environment, by simplifying our daily tasks by speeding up the information flow and allowing us to do incredible tasks in the twinkling of an eye. A smart mirror is a two-way with an electronic display behind the glass. The display can show the viewer different kinds of information in the form of widgets, such as weather, time and date and news updates. This project would be useful for busy individuals that want to multitask and stay informed while on the go.The basic design of smart mirror starts with two-way glass is the recommended types as it lets the graphics on the display come through clearer. Upon uploading the code to the device from android studio, all the prototypes and design that we have installed in the design module will be displayed. The electrical component to our project was a simple 19mm Computer monitor mounted to the back of the see through glass. In addition to, installation of PIR on and off sensor to different motion atmospheres is added. And an LED strip around the smart mirror comes with multiple luminosity levels from cool to warm light. The Google voice assistant feature has been implemented to control device with spoken commands. All of this works with Raspberry pi 3 A+ model which is a single board computer. To install the raspbian OS a micro SD card is needed prepared with an OS image all that will be running on the mirror will be coded on the same device at least a keyboard, mouse are required. One mode of interaction with smart is through the microphones. All the coding are written in python which most popular in the Raspberry pi community and it has all the libraries Mirror OS is the software we created for the smart mirror’s interface and it runs on the Raspbian (LINUX) ontop if the electron. The device must be connected to the Wi-fi in order to gather the data through online services.When every device such as phone, watch, TV, speaker has their smart versions, it doesn’t come as a surprise that mirrors they become smart too. KEYWORDS: IOT, PIR, RASPBERRY-PI, RASPBIAN OS, LINUX

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Choudhari, Vaishnavi. "A Review on Smart Mirror with Emotion Monitoring." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41321.

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This paper presents the survey of a Smart Mirror with Emotion Monitoring, which integrates advanced technologies like facial recognition and deep learning to enhance user interaction and mental well-being. The system detects facial features and classify emotions such as happiness and sadness in real time. Based on the detected emotions, the mirror provides personalized feedback, such as motivational quotes or cheerful messages, also displays daily essentials like time, weather, and calendar updates. By combining emotional intelligence with traditional functionalities, the smart mirror offers a versatile solution for home, healthcare, and commercial applications, making it an innovative tool for promoting emotional and functional support in everyday life. Key Words: Smart Mirror, Emotion Monitoring, Artificial Intelligence, IoT.

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Alebaba, Daimler Benz, Suaini Sura, Nooralisa Mohd Tuah, and Seungwon Lee. "Design and Development of loT-Smart Mirror Information Display System for Organizational Efficiency." ITM Web of Conferences 63 (2024): 01024. http://dx.doi.org/10.1051/itmconf/20246301024.

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In the realm of the Internet of Things (IoT), a smart mirror is akin to a regular mirror possessed with intelligence, incorporating technology to provide useful information. The need for an integrated multi-functional information display, efficiently consolidating global information, optimizing electricity consumption, and monitoring fire hazards, has become crucial for increasing awareness among organizational staff and visitors. However, many organizations still rely on traditional information displays, leaving them vulnerable to issues such as electricity wastage and hazard oversight. To tackle these issues, we developed a smart mirror enhanced with voice recognition to quickly retrieve global information, simultaneously reducing electricity costs and enabling early detection of fire hazards. This paper details the design and development of smart mirror, following a systematic approach based on the System Development Life Cycle (SDLC) methodology. As a result, evaluations of user acceptance measured through the System Usability Scale (SUS) tool, confirms the operational efficiency and positive reception of the system. This paper significantly contributes to advancing smart mirror research, providing a valuable resource for developers, researchers, and practitioners constructing their iterations and offering inspiration for future enhancements.

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Badwaik, Dikshita, Ekta Game, Pooja Zade, Pranali Kathote, and Gayatri Bhoyar. "A Review Paper on Health Monitoring Smart Mirror." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 451–54. http://dx.doi.org/10.22214/ijraset.2022.41267.

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Abstract: A variety of environmental factors can obstruct human health and well-being. These challenges include chemical pollution, air pollution, climate change, disease-causing bacteria, a lack of access to health care, poor infrastructure, and poor water quality. What we need now is a mechanism to continuously monitor an individual's health in an intuitive approach that can be used regularly without too much effort. That's why we're proposing to create a smart mirror that can track a user's health. The smart mirror will monitor and display your heart rate, oxygen level, and body temperature. Keywords: Internet of Things (IoT), Smart Mirror, Arduino.

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Dabiah, Alboaneen, Alsaffar Dalia, Alqahtani Amani, et al. "Smart information desk system with voice assistant for universities." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (2021): 5206–15. https://doi.org/10.11591/ijece.v11i6.pp5206-5215.

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This article aims to develop a smart information desk system through a smart mirror for universities. It is a mirror with extra capabilities of displaying answers for academic inquiries such as asking about the lecturers’ office numbers and hours, exams dates and times on the mirror surface. In addition, the voice recognition feature was used to answer spoken inquiries in audio responds to serve all types of users including disabled ones. Furthermore, the system showed general information such as date, weather, time and the university map. The smart mirror was connected to an outdoor camera to monitor the traffics at the university entrance gate. The system was implemented on a Raspberry Pi 4 model B connected to a two-way mirror and an infrared (IR) touch frame. The results of this study helped to overcome the problem of the information desk absence in the university. Therefore, it helped users to save their time and effort in making requests for important academic information.

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Ravishankar, Akhil. "Smart Mirror with a Personnel AI." International Journal for Research in Applied Science and Engineering Technology 6, no. 5 (2018): 1790–96. http://dx.doi.org/10.22214/ijraset.2018.5291.

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Soppimath, Vishwanath M., Mallikarjun G. Hudedmani, Manasi Chitale, Mohammed Altaf, Anjumkousar Doddamani, and Darshana Joshi. "The Smart Medical Mirror – A Review." International Journal of Advanced Science and Engineering 6, no. 1 (2019): 1244–50. http://dx.doi.org/10.29294/ijase.6.1.2019.1244-1250.

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Alboaneen, Dabiah, Dalia Alsaffar, Amani Alqahtani, et al. "Smart information desk system with voice assistant for universities." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 6 (2021): 5206. http://dx.doi.org/10.11591/ijece.v11i6.pp5206-5215.

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This article aims to develop a smart information desk system through a smart mirror for universities. It is a mirror with extra capabilities of displaying answers for academic inquiries such as asking about the lecturers’ office numbers and hours, exams dates and times on the mirror surface. In addition, the voice recognition feature was used to answer spoken inquiries in audio responds to serve all types of users including disabled ones. Furthermore, the system showed general information such as date, weather, time and the university map. The smart mirror was connected to an outdoor camera to monitor the traffics at the university entrance gate. The system was implemented on a Raspberry Pi 4 model B connected to a two-way mirror and an infrared (IR) touch frame. The results of this study helped to overcome the problem of the information desk absence in the university. Therefore, it helped users to save their time and effort in making requests for important academic information.

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Mawande, Rutuja. "Design and Development of Smart Convex Mirror to Prevent Accident on Blind Spots." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 5699–705. https://doi.org/10.22214/ijraset.2025.69619.

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Abstract: This research paper presents an innovative Smart Convex Mirror System that transforms passive mirrors into intelligent safety solutions by integrating real-time sensing and wireless alert mechanisms. The system deploys two sensor-based wireless transmitters—one equipped with a Passive Infrared (PIR) sensor for motion detection and another with a vibration sensor for detecting impact or tampering. Utilizing LoRa (Long Range) communication, these transmitters relay hazard data to a receiver module integrated with the mirror, which processes the input and activates intuitive visual indicators: a red LED for hazard alerts and a green LED for safe conditions. Its scalable architecture makes it adaptable across a wide range of applications—from urban traffic control to industrial site monitoring. This work not only bridges the gap between passive observation and active intervention but also lays the foundation for future IoT-enabled smart infrastructure and real-time safety analytics.

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Biswajit, Mallick. "Design and Development of an Intelligent Raspberry Pi-Powered Smart Mirror." Research and Applications: Embedded System 8, no. 2 (2025): 24–32. https://doi.org/10.5281/zenodo.15371121.

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This work presents the development of a Smart Mirror system using Raspberry Pi 4 as part of an advanced robotics project. The smart mirror functions as both a traditional mirror and an interactive digital display, offering users a range of useful information through various modules. Key features include weather updates (based on geographic coordinates), newsfeed, YouTube screencast, compliments, holiday lists, and real-time financial data display. By integrating different functionalities into a single device, the smart mirror aims to make daily routines more efficient and enjoyable, providing essential information at a glance while enhancing the aesthetics of the living space. The project combines hardware components like the Raspberry Pi 4B+, an LCD display, microSD card, power adapter, and casing, along with MagicMirror² software and custom modules. This report outlines the system architecture, component selection, software configuration, and implementation of each module. It concludes with insights into potential future developments and enhancements to improve interactivity, personalization, and usability, demonstrating the practical application and future potential of IoT-driven smart home technology.

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Deng, Xibo, Zhiran Peng, and Wenquan Wu. "A Smart Home Center Platform Solution Based on Smart Mirror." MATEC Web of Conferences 139 (2017): 00069. http://dx.doi.org/10.1051/matecconf/201713900069.

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Muneer, Amgad, Suliman Mohamed Fati, and Saddam Fuddah. "Smart health monitoring system using IoT based smart fitness mirror." TELKOMNIKA (Telecommunication Computing Electronics and Control) 18, no. 1 (2020): 317. http://dx.doi.org/10.12928/telkomnika.v18i1.12434.

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Amgad, Muneer, Mohamed Fati Suliman, and Fuddah Saddam. "Smart health monitoring system using IoT based smart fitness mirror." TELKOMNIKA Telecommunication, Computing, Electronics and Control 18, no. 1 (2020): 317–31. https://doi.org/10.12928/TELKOMNIKA.v18i1.12434.

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The smart fitness mirror proposed in this researchaims to provide the users with a platform to monitor their health and fitness status on a daily basis. The system employs a number of sensors to monitor the body mass index (BMI) and amount of body fat present in the user’s body. A weight scale consisting of four load sensors has been implemented to obtain the weight of the user whereas an ultrasonic sensor has been used to measure the height of the user. In addition, four electrode plates have been implemented on the foot weight scale to infuse a small amount of electric current (1mA) for BIA (bioelectrical impedance analysis) to estimate the amount of body fat percentage, lean body mass and total body water. An IR temperature sensor has been implemented in the research to measure the temperature of the user’s body from the forehead. Tests conducted on the system illustrate that it is able to accurately compute the body mass index and perform a bioelectrical impedance analysis on the user. The system is able to achieve a 92.5 % and 93.7 % accuracy in determining the body mass index and body fat percentage respectively. An accuracy of 95.3 % was observed in the determination of the body temperature.

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Journal articles on the topic 'Smart mirror'

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