Namane Vision
This YouTube channel provides to anyone interested in artificial/computer vision or image processing, a set of applications, namely, 1D barcode detection and recognition, object tracking/counting and automatic licence plate recognition technology. This channel covers also damaged 1D barcode processing and decoding..
Damaged 1D barcode detection and decoding
Video based scanner for severely damaged barcode
Real time 1D barcode detection (using image gradient) and decoding using pyzebar.
Multiple 1D barcode detection for low resolution (640 x 480 pixels) resolution.
fast realtime moving plastic bottles counting placed on conveyor belt.
Very fast moving objects counting and identification placed on conveyor belt.
Algerian coins identification using YOLO v4
HD images for Realtime fast and accurate 1D barcode detection
Realtime fast and accurate 1D barcode detection
Plastic bottles quality control using image processing
Multiple 1D barcode detection and decoding
Best damaged barcode reader
Robust Damaged Barcode Reader
Barcode detection, degraded or damaged barcode Reader
Fast real time multiple barcode detection (Part 2)
Fast real time multiple barcode detection (Part 1)
Fast and accurate EAN13 barcode detection and scanning
Barcode scanner, Barcode reader using webcam
Car counting and tracking using C++
Color objects detection, tracking and counting using image processing
Bird detection tracking and counting using image processing
Object detection tracking and counting using image processing
ANPR System, Automatic Number Plate Recognition
Robust ANPR System, Automatic Number Plate Recognition for low quality images
Computer vision; ANPR System, Automatic Number Plate Recognition for Algerian cars
Computer vision; Object detection, reading Dominos with artificial vision is now possible!
Object detection, very fast and robust blurry 1D barcode detection for real-time applications
Object detection. Robust 1D Barcode Detect Demo
Robust and very fast
Object detection. Real time blur estimation of 1D barcode using Webcam