General Traffic Coordinator Algorithm
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Updated
Aug 18, 2022 - Python
General Traffic Coordinator Algorithm
🚘 FCN-rLSTM 모델 대규모 교통 데이터셋 WebCamT 학습
Vehicle Counter Project on Videos using cv2
Motion detection using background subtraction. Implement 3 background subtraction methods: frame differencing, mean filter, mixed of gaussian
🚗 DinjanAI's Vehicle In/Out Detection & Count Project utilizes AI, ML, and DL to accurately track and count vehicles entering and exiting designated areas in real-time. Ideal for parking lots, intersections, and toll booths, it offers seamless integration and customizable configurations. 🛣️👀
Vehicle Control Algorithm with YOLO V4
Undergraduate project: automated vehicle counting
Traffic survey automator is a software that analyses traffic recordings using deep learning and statistical algorithms. It outputs the numbers of vehicles passing through the defined regions of interest.
EC463 Senior Design Miniproject: Raspberry Pi video processing
This repository contains the code for an IoT Traffic Surveillance System using a fog-computing architecture. The system uses an adaptive video encoding algorithm that switches the video encoding at specific intervals to reduce the required network bandwidth.
Vehicle Tracking and Counting using Yolo and ByteTrack
Advanced Vehicle Tracking and Detection System using ByteTrack, Supervision, and YOLO Algorithms
The goal of the project is to classify the vehicles, count their frequency, track them using unique ID and provide safety measures to the users by flagging the suspicious ones.
Vehicle counter using python opencv and dlib
Building a small demo system to detect and count vehicle using Streamlit framework
YoLo is a CNN architecture which specialize in object detection. I am using tutorial from https://www.pyimagesearch.com/2018/11/12/yolo-object-detection-with-opencv/ to develop my own modification. This project aims to count every vehicle(motorcycle, bus, car, cycle, truck) detected in the input image/video.
Vehicle detection, tracking, counting and speed prediction on videos with OpenCV.
A computer vision and artificial intelligence project to detect and counting vehicles. This project is using YOLOV5 and Deep Sort Algorithm to perform object recognition and tracking realtime.
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