Analyze images and videos to detect objects
Identify objects in images
Generic YOLO Models Trained on COCO
Upload image to detect objects
Identify objects in images
Detect objects in images and videos
Upload an image to detect objects
Detect objects in an image
State-of-the-art Zero-shot Object Detection
Identify objects in images and generate detailed data
Detect objects in your images
Detect objects in images using YOLOv5
Find objects in images and get details
NumberPlateRecogition is an object detection tool designed to analyze images and videos for the purpose of detecting and recognizing number plates. It utilizes advanced AI technology to identify and extract license plate information from various types of media, making it a valuable tool for applications such as traffic monitoring, security systems, and automotive analytics.
• Object Detection: Accurately identifies number plates within images and video streams.
• Text Recognition: Extracts alphanumeric characters from detected number plates using OCR (Optical Character Recognition).
• Multiple Plate Detection: Can process scenes with multiple number plates simultaneously.
• Export Data: Provides options to export recognized data for further analysis or reporting.
• Real-Time Processing: Capable of analyzing live video feeds for immediate number plate recognition.
What types of media can NumberPlateRecogition process?
NumberPlateRecogition supports both images (e.g., JPG, PNG) and video files (e.g., MP4, AVI).
Can NumberPlateRecogition work in real-time?
Yes, the tool is designed to process live video streams for real-time number plate recognition.
How accurate is NumberPlateRecogition?
The accuracy depends on the quality of the input media. Clear images and videos with visible number plates yield the best results.
What formats can the recognized data be exported in?
The extracted data can be exported in common formats such as CSV, JSON, or TXT.