Automatic Vehicle Count & Classification System [AI-AVCC]

Advanced camera-based system designed to validate precise vehicle counts, along with their respective classes, entry, and exit logs.

Key Features

Deep learning enables 3-D vehicle image-based classification into 16+ categories, ensuring accuracy and reliability.

The camera-based system stores proof of each passing vehicle, making dispute resolution easy.

Using the latest AI technology, the system continuously improves and seamlessly adds new vehicle types.

Accurate vehicle classification, including elevated axles, encompassing 16+ vehicle classes.
ANPR capture for identifying returning vehicles, utilizing advanced 3D image technology.
Exceptional vehicle count accuracy (99.6%+) and vehicle class accuracy (98%+), achieved through multi-camera vehicle image capture.
Leading-edge recognition of non-standard handwritten number plates, surpassing industry benchmarks for ANPR systems.
Seamless integration with existing Toll Management Systems, offering easy implementation.
Low maintenance requirements, independent of specific hardware, ensuring cost-effective operations.
Simplified toll and traffic management through a centralized, single-point viewing system.

Smart Shelf Space Analysis for optimized product placement, data-driven decisions, and enhanced shelf visibility to maximize revenue and sales.

Discover demographics, footfall trends, and loyalty records. Leverage data-driven decisions for personalized marketing and customer engagement.

Accurate counting of people, heatmap visualization, and anomalies or intruder detection for safety and security.

Detect speeding & stalled vehicles, capture number plates, and send timely alerts for efficient parking management.