Real-time Traffic and Pedestrian Counting (YOLOV3 in tensorflow2)
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May 3, 2020 - Python
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Real-time Traffic and Pedestrian Counting (YOLOV3 in tensorflow2)
Real Time Person Tracking using DeepSort and Yolo_v4
BAM-SORT: A state-of-the-art multi-object tracking algorithm using bottom edge cost matrix and activated trajectory matching for robust tracking in crowded and occlusion-heavy environments. Excelling in benchmarks like MOT17, MOT20, and DanceTrack.
Smartphone + free services = real-time tracking & location history for active people. Privacy-focused, you own your data
A dynamic Python-based routing and package management system for optimizing delivery schedules and operations. Designed for WGUPS, it showcases efficient use of algorithms and data structures for real-world logistics solutions.
Cricket Ball Trajectory Detection And Prediction
Real-time tracking and behavioural reinforcement toolbox for DeepLabCut to accompany Forys, Xiao, Gupta, and Murphy (2020).
Person re-identification project with three suggested models, which implemented using yolo, opencv, tensorflow, etc.
real-time tracking webapp
developer resources for digitreck sdk
Webstack Portfolio Project - The last ALX Software Engineering Program Project
📚🚍 SuperiorWay: Transport Management App - Real-time Bus Tracking, Attendance Records, and Fee Payments 🚀🎓
A real-time tracking system for Maduino with SOS and OK functionality. This project allows for GPS tracking and sends notifications via HTTP requests when SOS or OK buttons are pressed. This repository includes code for initializing the Maduino module, handling button presses, and sending HTTP requests for tracking data and emergency notifications.
✨ SpotHole helps users report potholes with ease. Capture images, tag locations, and share reports on Twitter to raise awareness. Track all submissions via a simple dashboard. Built with Node.js, this app empowers communities to improve road safety. Open for contributions! ✨
Control your cursor with your eyes in real-time 👁️🖱️
Simple Polls Application, meticulously crafted with Python, Django, and HTML to provide a seamless and interactive polling experience.
Develop a dynamic and user-friendly mobile application that helps users plan and visualize routes on a map. The app integrates real-time location tracking, predefined routes, and estimated time of arrival (ETA) information to enhance the user experience.
In this project I built real-time tracker location with the help of nodejs, expressjs, leaflet and ejs.
Real-time vision defects self-monitoring and correction assistant with gaze tracking capabilities
A sensor-driven system for real-time 3D mapping and positional tracking using mobile device accelerometer and gyroscopic data. This project constructs a relative coordinate matrix by integrating motion detection and orientation mapping, enabling precise localization and movement analysis in 3D space.
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