Relevant bibliographies by topics / Real Time Webcam Integration

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Real Time Webcam Integration'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Real Time Webcam Integration"

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Chary, Podakanti Satyajith. "Real Time Object Detection Using YOLOv4." International Journal for Research in Applied Science and Engineering Technology 11, no. 12 (2023): 1375–79. http://dx.doi.org/10.22214/ijraset.2023.57602.

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Abstract: This research paper introduces a robust real-time object detection system, leveraging the cutting-edge capabilities of the YOLOv4 (You Only Look Once) deep learning framework.The integration of this system with a webcam in the Google Colab environment forms a novel and accessible platform for live object detection. The paper meticulously details the methodology behind theintegration, providing comprehensive insightsinto the intricatesteps taken to achieve seamless real-time detection. Key aspects covered include the configuration and acquisition of YOLOv4 model weights, setup of the
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Avani Fatesinhbhai Chaudhari, Avani Fatesinhbhai Chaudhari, and Priyanka Sharma Priyanka Sharma. "Real-Time Facial Expression Detection System." International Journal of Advances in Engineering and Management 7, no. 6 (2025): 137–41. https://doi.org/10.35629/5252-0706137141.

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Real-time Facial Expression Detection system using Artificial Intelligence and Deep Learning. The project combined theoretical concepts with practical implementation, focusing on deep learning. A Convolutional Neural Network (CNN) was trained on the FER2013 dataset to classify seven emotions: Happy, Sad, Angry, Disgusted, Fearful, Surprised, and Neutral. Both a custom CNN and VGG16 (via transfer learning) were used to compare performance and training efficiency.[9] Technologies like Python, TensorFlow, Keras, and OpenCV were used. Key features included real-time webcam integration, face detect
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Pratima Prakash Sawant, Anushka Prakash Shelar, Sakshi Sachin Shelke, Yash Mohan Shete, and Dr. Umakant Butkar. "Real Time Monitoring System for Women’s Privacy Protection in Gender Sensitive Zones." International Research Journal on Advanced Engineering Hub (IRJAEH) 3, no. 03 (2025): 829–33. https://doi.org/10.47392/irjaeh.2025.0117.

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This project presents a Real-Time Monitoring System aimed at enhancing women’s privacy and security in gender-sensitive areas, such as female-only restrooms, changing rooms, and similar spaces. The system integrates computer vision and deep learning techniques to detect unauthorized male entry and trigger immediate alerts. Using Raspberry Pi with a Webcam, real-time video frames are processed to identify gender through a lightweight Deep Learning model. Upon detecting an unauthorized male presence, an automated notification system sends alerts to security personnel. The solution offers scalabi
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Mukherjee, Pritam. "A Deep Learning Approach for Real-Time Facial Recognition and Analysis." International Journal for Research in Applied Science and Engineering Technology 13, no. 5 (2025): 5232–39. https://doi.org/10.22214/ijraset.2025.71464.

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This project presents A Deep Learning Approach for Real-Time Facial Recognition and Analysis that uses computer vision and deep learning to detect and interpret human facial attributes, including age, gender, emotion, and race. The system captures live video from a webcam, detects faces using OpenCV, and analyzes them using the DeepFace library. It is designed to run efficiently on standard laptops and provide instant feedback by displaying detected attributes directly on the screen.Despite challenges like poor lighting and ambiguous facial expressions, the use of pre-trained deep learning mod
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SHAMILI S, FRANCIS. "YOLOV4 Based Blind Assistant System for Real-Time Object Detection." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem46943.

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Abstract – This project focuses on object detection using the YOLOv4-tiny model, a lightweight version of the YOLO (You Only Look Once) algorithm designed for real-time object detection. The model is loaded with pre-trained weights and a configuration file, making it capable of detecting various objects from a webcam feed. Once an object is detected, the system identifies the class, evaluates the confidence of the detection, and calculates the bounding box coordinates to highlight the object in the image. The system applies Non-Maximum Suppression (NMS) to remove overlapping bounding boxes and
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Sahu, Kunal. "iAttend: A Real-Time Attendance Monitoring System using Face Recognition Technique." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 6567–75. https://doi.org/10.22214/ijraset.2025.69888.

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Abstract: In education, accurate and efficient attendance tracking is critical. This paper presents iAttend, a real-time, face recognition-based attendance system that automates attendance management using computer vision and machine learning. Built with Python-Flask, OpenCV, and the face_recognition library, iAttend enables secure, contactless verification through live webcam feeds, matching captured faces with pre-encoded data. Attendance entries include time, date, subject, and teacher identity, stored in a structured CSV format for analysis. A student dashboard provides dynamic summaries a
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Pathan, Yusuf. "Hand Gesture-Control Gaming and Mouse Navigation System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41237.

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-- This paper explores the development of a gesture-controlled system that enables users to interact with computer games, such as Hill Climb Racing, using hand movements. The system utilizes real-time data from a webcam, along with libraries like MediaPipe, OpenCV, and Pygame, to detect and interpret hand gestures. By tracking hand movements, the software allows users to control game functions and navigate the mouse pointer without the need for traditional input devices. This approach not only enhances the gaming experience but also promotes hands- free interaction, with potential for future i
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A, Hemanth Datta, Hrushi Jiyyan A, K. Sreekala Dr., Nagi Reddy G., and A.Nagesh Dr. "SpeciSphere Classification: An App that classifies an Image and Provides Veterinary Diagnostics for Canines (Dogs)." Journal of Advancement in Software Engineering and Testing 8, no. 3 (2025): 31–43. https://doi.org/10.5281/zenodo.15542627.

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<em>The paper discusses an intelligent image diagnosis and classification system that can identify general objects and make specific disease prediction in dogs. It starts by classifying the webcam-captured or uploaded image with a trained ResNet-50 convolutional neural network. Once it identifies the presence of a dog, it goes ahead to detect the breed and enables a rule-based diagnostic module to predict probable diseases, focusing on breed-related conditions. The diagnostic engine is based on an organized database correlating symptoms and breed predispositions to prevalent dog illnesses, fac
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Dhuri, Tanmay. "Establishing and Monitoring Remote Laboratory Using Webcam for Engineering Students." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 3961–66. https://doi.org/10.22214/ijraset.2025.69200.

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Each year, over a million engineering students in India seek admission, presenting a significant opportunity for institutes to continually improve learning environments. The problem of overcrowded laboratories and outdated experiment equipments is seen yet neglected at times. This spreads light to Real-time Remote Access (RART) laboratories, a potential solution that not only increases accessibility but also promotes distance learning. Utilizing LabVIEW web services for control and data acquisition, complemented by webcams for real-time experimental monitoring, ensures seamless experimenting e
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Diachok, Roman, Ivan Tepliako, Myroslava Lapko, and Anatoli I. Popov. "Efficiency and accuracy: comparison of PIR, OpenCV with a webcam, and Raspberry Pi." Advances in Cyber-Physical Systems 10, no. 1 (2025): 77–82. https://doi.org/10.23939/acps2025.01.077.

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This paper is dedicated to developing and evaluating the facial recognition system, focusing on its effectiveness and operational reliability under real-world conditions. The choice of the Raspberry Pi hardware platform for implementing the system has been justified by its capability to process video streams in real time, as well as its compatibility with the high-quality Raspberry Pi Camera V2, which enables the acquisition of images with sufficient resolution for the proper functioning of computer vision algorithms. The implementation of a prototype of the studied system has been presented,
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Dissertations / Theses on the topic "Real Time Webcam Integration"

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Kaymak, Sertan. "Real-time appearance-based gaze tracking." Thesis, Queen Mary, University of London, 2015. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8949.

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Gaze tracking technology is widely used in Human Computer Interaction applications such as in interfaces for assisting people with disabilities and for driver attention monitoring. However, commercially available gaze trackers are expensive and their performance deteriorates if the user is not positioned in front of the camera and facing it. Also, head motion or being far from the device degrades their accuracy. This thesis focuses on the development of real-time time appearance based gaze tracking algorithms using low cost devices, such as a webcam or Kinect. The proposed algorithms are devel
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Allen, Michael P. "Real-Time Simulation for System Integration." International Foundation for Telemetering, 1993. http://hdl.handle.net/10150/611853.

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International Telemetering Conference Proceedings / October 25-28, 1993 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>Functional integration and validation of complex systems in an operational environment, prior to delivery or installation, can be expensive. Real-time simulation, in a lab environment, can replace hardware subsystems to provide the interfaces necessary to validate and or integrate the test article. The test article can be hardware, software or firmware. Multitasking simulations can provide modeling of subsystems and environmental sensor data for complex system int
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Gupta, Sarthak. "Real-time Integration of Energy Storage." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78749.

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Increasing dynamics in power systems on account of renewable integration, electric vehicle penetration and rising demands have resulted in the exploration of energy storage for potential solutions. Recent technology- and industry-driven developments have led to a drastic decrease in costs of these storages, further advocating their usage. This thesis compiles the author's research on optimal integration of energy storage. Unpredictability is modelled using random variables favouring the need of stochastic optimization algorithms such as Lyapunov optimization and stochastic approximation. Mor
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Ayyad, Majed. "Real-Time Event Centric Data Integration." Doctoral thesis, Università degli studi di Trento, 2014. https://hdl.handle.net/11572/367750.

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A vital step in integrating data from multiple sources is detecting and handling duplicate records that refer to the same real-life entity. Events are spatio-temporal entities that reflect changes in real world and are received or captured from different sources (sensors, mobile phones, social network services, etc.). In many real world situations, detecting events mostly take place through multiple observations by different observers. The local view of the observer reflects only a partial knowledge with certain granularity of time and space. Observations occur at a particular place and time,
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Ayyad, Majed. "Real-Time Event Centric Data Integration." Doctoral thesis, University of Trento, 2014. http://eprints-phd.biblio.unitn.it/1353/1/REAL-TIME_EVENT_CENTRIC_DATA_INTEGRATION.pdf.

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A vital step in integrating data from multiple sources is detecting and handling duplicate records that refer to the same real-life entity. Events are spatio-temporal entities that reflect changes in real world and are received or captured from different sources (sensors, mobile phones, social network services, etc.). In many real world situations, detecting events mostly take place through multiple observations by different observers. The local view of the observer reflects only a partial knowledge with certain granularity of time and space. Observations occur at a particular place and time,
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Quintal, Filipe Magno Gouveia. "Inexpensive solution for real-time video and image stitching." Master's thesis, Universidade da Madeira, 2009. http://hdl.handle.net/10400.13/79.

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Image stitching is the process of joining several images to obtain a bigger view of a scene. It is used, for example, in tourism to transmit to the viewer the sensation of being in another place. I am presenting an inexpensive solution for automatic real time video and image stitching with two web cameras as the video/image sources. The proposed solution relies on the usage of several markers in the scene as reference points for the stitching algorithm. The implemented algorithm is divided in four main steps, the marker detection, camera pose determination (in reference to the markers), video
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Manavi, Bobak. "REAL-TIME TREE SIMULATION USING VERLET INTEGRATION." Master's thesis, University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4298.

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One of the most important challenges in real-time simulation of large trees and vegetation is the vast number of calculations required to simulate the interactions between all the branches in the tree when external forces are applied to it. This paper will propose the use of algorithms employed by applications like cloth and soft body simulations, where objects can be represented by a finite system of particles connected via spring-like constraints, for the structural representation and manipulation of trees in real-time. We will then derive and show the use of Verlet integration and the const
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Wang, Zhen. "Control and Time Integration Algorithms for Real-Time Hybrid Simulation." Doctoral thesis, Università degli studi di Trento, 2012. https://hdl.handle.net/11572/367665.

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Seismic testing methodologies play a significant role in earthquake engineering due to complexities of engineering materials and ground motion. Among available testing methods, hybrid simulation is more appealing for its merits, e.g., evaluating dynamic responses of large scale structures at lower cost. As a novel member of hybrid simulation, Real-time Hybrid Simulations (RHS), since its conception in 1992, has shown its unique properties and capacity for testing complex structural components, especially rate-dependent ones. RHS often partitions the emulated structure into portions, which are
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Wang, Zhen. "Control and Time Integration Algorithms for Real-Time Hybrid Simulation." Doctoral thesis, University of Trento, 2012. http://eprints-phd.biblio.unitn.it/812/1/Wang's_Thesis.pdf.

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Seismic testing methodologies play a significant role in earthquake engineering due to complexities of engineering materials and ground motion. Among available testing methods, hybrid simulation is more appealing for its merits, e.g., evaluating dynamic responses of large scale structures at lower cost. As a novel member of hybrid simulation, Real-time Hybrid Simulations (RHS), since its conception in 1992, has shown its unique properties and capacity for testing complex structural components, especially rate-dependent ones. RHS often partitions the emulated structure into portions, which a
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Talakala, Pavan. "INTEGRATION OF REAL – TIME EXPERIMENTS WITH INTERNET ACCESS." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3293.

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The revolution of Internet &#150; enabled instrumentation is emerging as a revolution in Measurement and Automation. New standards are being developed for transmitting data and connecting instruments to the Internet. The main purpose of this thesis is to design and develop a system to Integrate various Real &#150; time experiments and be able to monitor and control them over Internet using LabVIEW. LabVIEW is a graphical programming package capable of data acquisition, data analysis, data presentation and real time remote control. In this thesis a Real &#150; time system is developed which int
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Books on the topic "Real Time Webcam Integration"

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Neelanarayanan, ed. Real Time Characterization of Lip-Movements Using Webcam. Association of Scientists, Developers and Faculties, 2014.

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Haug, Edward J., and Roderic C. Deyo, eds. Real-Time Integration Methods for Mechanical System Simulation. Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76159-1.

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NATO Advanced Research Workshop on Real-Time Integration Methods for Mechanical System Simulation (1989 Snowbird, Utah). Real-time integration methods for mechanical system simulation. Springer-Verlag, 1991.

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Li, Zhenpei, and Lehao Yang. Pipeline Real-time Data Integration and Pipeline Network Virtual Reality System. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62110-0.

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Gupta, Punit, Dinesh Kumar Saini, and Kashif Zia. Soft Computing Principles and Integration for Real-Time Service-Oriented Computing. Auerbach Publications, 2024. http://dx.doi.org/10.1201/9781032716718.

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Ensco, inc. Applied Meteorology Unit. and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Simulation of a real-time local data integration system over east-central Florida. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1999.

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Ensco, inc. Applied Meteorology Unit. and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Simulation of a real-time local data integration system over east-central Florida. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1999.

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Leatherman, Brent Lee. An approach to integration of real-time software for an autonomous underwater vehicle. Naval Postgraduate School, 1991.

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Ensco, inc. Applied Meteorology Unit. and United States. National Aeronautics and Space Administration. Scientific and Technical Information Program., eds. Simulation of a real-time local data integration system over east-central Florida. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1999.

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Zyda, Michael J. A single board multiprocessor for real-time contour surface display generation. Naval Postgraduate School, 1986.

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Book chapters on the topic "Real Time Webcam Integration"

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Gudi, Amogh, Xin Li, and Jan van Gemert. "Efficiency in Real-Time Webcam Gaze Tracking." In Computer Vision – ECCV 2020 Workshops. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66415-2_34.

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Atasoy, Huseyin, Esen Yildirim, Yakup Kutlu, and Kadir Tohma. "Webcam Based Real-Time Robust Optical Mark Recognition." In Neural Information Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26535-3_51.

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Rossak, Wilhelm. "Integration of Large Scale Systems." In Real Time Computing. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-88049-0_32.

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Rossak, Wilhelm. "Using Integration Architectures for Systems Development." In Real Time Computing. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-88049-0_85.

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Puschmann, Thomas, and Rainer Alt. "Echtzeit-Integration für Prozessportale in der Automobilindustrie." In Real-time Business. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-17108-6_9.

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Rossak, Wilhelm, Lonnie Welch, Tamar Zemel, and Johan Eder. "A Generic Systems Integration Framework for Large and Time-Critical Systems." In Real Time Computing. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-88049-0_44.

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Li, Yingbo, David S. Monaghan, and Noel E. O’Connor. "Real-Time Gaze Estimation Using a Kinect and a HD Webcam." In MultiMedia Modeling. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04114-8_43.

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Shetty, Aanshula, Vedanti Wadekar, Nidhi Worah, and Megharani Patil. "Webcam-Based Real-Time Indian Sign Language Recognition for Inclusive Communication." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8631-2_2.

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Beck, Ronald R. "Real-Time Motion Base Simulation." In Real-Time Integration Methods for Mechanical System Simulation. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-76159-1_3.

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Richardson, Douglas. "Real-Time Space-Time Integration in GIScience and Geography." In Space-Time Integration in Geography and GIScience. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-017-9205-9_21.

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Conference papers on the topic "Real Time Webcam Integration"

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Jain, Tanmay, Samiksha Bhatia, Chandan Sarkar, Priyanka Jain, and N. K. Jain. "Real-Time Webcam-Based Eye Tracking for Gaze Estimation: Applications and Innovations." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10724037.

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Goundar, Sam. "Blockchain-AI Integration for Resilient Real-time Cyber Security." In 2024 Global Congress on Emerging Technologies (GCET). IEEE, 2024. https://doi.org/10.1109/gcet64327.2024.10934609.

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Oprea, Marin. "THE INTEGRATION OF IOT PROJECTS IN UNDERGRADUATE EDUCATION." In eLSE 2019. Carol I National Defence University Publishing House, 2019. http://dx.doi.org/10.12753/2066-026x-19-043.

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The Internet of Things (IoT) is defined by the interconnection between networks of smart devices (objects) through specific communication standards and protocols. Data retrieved from these objects is loaded on cloud servers where it is analyzed, processed and then accessed by users through simple, intuitive, easy-to-use interfaces. The rapid development of IoT applications will steadily increase the demand for skilled personnel in this field. Under these circumstances, the study of IoT basic notions in classrooms becomes a necessity. Using the Arduino and Raspberry Pi development platforms, a
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Gonagur, Karan, Shobhit Aggarwal, David Fillmore, and Asis Nasipuri. "Webcam Lighting Studio: A Framework for Real-Time Control of Webcam Lighting." In SoutheastCon 2023. IEEE, 2023. http://dx.doi.org/10.1109/southeastcon51012.2023.10115165.

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Singh, Amrit Pal, and Deepshikha Agarwal. "Webcam Motion Detection in Real-Time Using Python." In 2022 International Mobile and Embedded Technology Conference (MECON). IEEE, 2022. http://dx.doi.org/10.1109/mecon53876.2022.9752059.

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Patlolla, C., S. Mahotra, and N. Kehtarnavaz. "Real-time hand-pair gesture recognition using a stereo webcam." In 2012 IEEE International Conference on Emerging Signal Processing Applications (ESPA 2012). IEEE, 2012. http://dx.doi.org/10.1109/espa.2012.6152464.

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Amouri, L., M. Jallouli, and N. Derbel. "Real time localisation of a mobile robot using Webcam data." In 2008 5th International Multi-Conference on Systems, Signals and Devices (SSD). IEEE, 2008. http://dx.doi.org/10.1109/ssd.2008.4632846.

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Aung, Yu Yu, and Moe Moe Lwin. "Real-Time Object Distance Estimation Based on YOLOv8 Using Webcam." In 2024 IEEE Conference on Computer Applications (ICCA). IEEE, 2024. http://dx.doi.org/10.1109/icca62361.2024.10532829.

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Mazhar, Osama, Taimoor Ali Shah, Muhammad Ahmed Khan, and Sameed Tehami. "A real-time webcam based Eye Ball Tracking System using MATLAB." In 2015 IEEE 21st International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE, 2015. http://dx.doi.org/10.1109/siitme.2015.7342312.

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Kumar, Chevella Anil, and Kancharla Anitha Sheela. "Real-Time Emotional Analysis from A Live Webcam Using Deep Learning." In 2022 3rd International Conference for Emerging Technology (INCET). IEEE, 2022. http://dx.doi.org/10.1109/incet54531.2022.9824894.

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Reports on the topic "Real Time Webcam Integration"

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Mark J. Stunder, Perry Sebastian, Brenda A. Chube, and Michael D. Koontz. Integration of Real-Time Data Into Building Automation Systems. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/809900.

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Borden, M., E. Crawley, B. Davie, and S. Batsell. Integration of Real-time Services in an IP-ATM Network Architecture. RFC Editor, 1995. http://dx.doi.org/10.17487/rfc1821.

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Gibson, Robert G., and David E. Norris. Integration of Infrasound Propagation Models and Near-Real-Time Atmospheric Characterizations. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada430625.

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Broadwater, *Robert, Harold Christopher, Steven Hegedus, Tasha Kaewnukultorn, and Rafik Eldaly. Faster-than-real-time Simulation with Demonstration for Resilient DER Integration. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/2429193.

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Kadeethum, Teeratorn, John Jakeman, Hongkyu Yoon, and Birendra Jha. Continuous integration data-driven platform of industrial-scale subsurface storage for real-time analytics. Office of Scientific and Technical Information (OSTI), 2024. https://doi.org/10.2172/2480191.

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Breckenridge, John, Kevin Shaw, Roy Ladner, Ruth Wilson, and K. T. Holland. Characterization of the Dynamic Littoral Zone: An Exercise in the Real-Time Dynamics of Spatial Data Integration. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada389439.

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Chien, Stanley, Lauren Christopher, Yaobin Chen, Mei Qiu, and Wei Lin. Integration of Lane-Specific Traffic Data Generated from Real-Time CCTV Videos into INDOT's Traffic Management System. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317400.

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The Indiana Department of Transportation (INDOT) uses about 600 digital cameras along populated Indiana highways in order to monitor highway traffic conditions. The videos from these cameras are currently observed by human operators looking for traffic conditions and incidents. However, it is time-consuming for the operators to scan through all video data from all the cameras in real-time. The main objective of this research was to develop an automatic and real-time system and implement the system at INDOT to monitor traffic conditions and detect incidents automatically. The Transportation and
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Cowles, Timothy J. Real-time Integration of Biological, Optical and Physical Oceanographic Data from Multiple Vessels and Nearshore Sites using a Wireless Network. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada627905.

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Fatogoma, Ouattara, Todd Premo, and Robert Jacko. Integration of Real-Time Air Pollution Parameters Into the Decision Making Process Regarding Highway Construction Work Zone Traffic Flow Requirements (Phase 1). Purdue University, 1998. http://dx.doi.org/10.5703/1288284313460.

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Kong, Zhihao, and Na Lu. Field Implementation of Concrete Strength Sensor to Determine Optimal Traffic Opening Time. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317724.

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Abstract:
In the fast-paced and time-sensitive fields of construction and concrete production, real-time monitoring of concrete strength is crucial. Traditional testing methods, such as hydraulic compression (ASTM C 39) and maturity methods (ASTM C 1074), are often laborious and challenging to implement on-site. Building on prior research (SPR 4210 and SPR 4513), we have advanced the electromechanical impedance (EMI) technique for in-situ concrete strength monitoring, crucial for determining safe traffic opening times. These projects have made significant strides in technology, including the development
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