Multi-dimensional
Realizes multi-dimensional attribute analysis such as vehicle type sub-classification, body color recognition, vehicle feature extraction, headlight status detection, and trunk opening judgment

AI Algorithms
Vehicle Multi-dimensional Attribute Analysis Algorithm Set relies on deep learning technology to accurately parse multi-dimensional vehicle information such as license plate, vehicle type, body color, vehicle brand, and annual inspection sticker. Adapted to complex road environments such as backlight, occlusion, and high-speed passage, it completes structured data output in milliseconds, can connect to various traffic perception devices, and provides refined vehicle data support for services such as illegal parking inspection, checkpoint analysis, and parking management.
Realizes multi-dimensional attribute analysis such as vehicle type sub-classification, body color recognition, vehicle feature extraction, headlight status detection, and trunk opening judgment
Enables fine-grained multi-vehicle-type classification
Enables feature vector retrieval