Safety Helmet and Plate Detection
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: safety helmet dataset, segmented by Yolo
: SSD-MobileNet, Faster-RCNN, TinyYOLO etc.
: YOLOv3, image
: realtime, SSD-MobileNet
: realtime, YOLO
: image, YOLO
: realtime, YOLO
: realtime, CenterNet-MobileNet
: realtime, YOLOv5
: realtime, YOLO
: image (video?), Contex RCNN
: YOLO
: YOLO, deepsort
Real-Time Helmet Detection: video-based, handheld based.
combined with plate identification?
: OpenALPR is an open-source Automatic License Plate Recognition library written in C++ with bindings in C#, Java, Node.js, Go, and Python. The library analyzes images and video streams to identify license plates.
: This is a two-stage lightweight and robust license plate recognition in MTCNN and LPRNet using Pytorch. MTCNN is a very well-known real-time detection model primarily designed for human face recognition. It is modified for license plate detection. LPRNet, another real-time end-to-end DNN, is utilized for subsequent recognition.
: ssd-mobilenet + tasseract OCR
,
: Yolo+Edge Detection+CNN
: CNN (for character recognition) + RNN (for number sequence detection), image
, : CNN + CTC, image
, LPRNet implementation in Pytorch
ANLPR Tensorflow
: Haar Cascade
: YOLO + Tasseract
Video
Video
Yolo-Tasseract
upgrade : SSD-MobileNet, Faster-RCNN, TinyYOLO etc.
upgrade : realtime, SSD-MobileNet
upgrade : realtime, YOLO
upgrade : realtime, CenterNet-MobileNet
upgrade : realtime, YOLOv5
upgrade : realtime, YOLO