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Audioshake
- Frankfurt, Germany
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13:57
(UTC +01:00) - @faro@sigmoid.social
traffic_monitoring
The easiest way to count pedestrians, cyclists, and vehicles on edge computing devices or live video feeds.
World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and NPUs using deep learning (Tensorflow, Tensorflow lite, TensorRT, OpenVX, OpenVINO). Multi-Charset (Latin, Korean, Chinese) & Mult…
Doppler radar traffic monitoring and speed camera solution for Raspberry Pi
Setup of RPI4+ Vehicle Detection and Distance Measurement+ GPS + Distracted Driving Detection
A fully functional traffic counter on a bare Raspberry Pi 4 with MQTT and remote live viewer
This project utilizes PyQt5, YOLOv8, and TensorFlow for vehicle detection and identification, including speed monitoring and fine issuance. It features a user-friendly interface and contributes to …
A YOLOv8-based project for real-time traffic density estimation. It employs fine-tuned vehicle detection models to analyze and count vehicles per frame, aiding urban traffic management and planning…
Traffic Monitor built with edge ML for object detection and radar for speed monitoring