VISU is a visual computing system that uses Deep Learning algorithms to identify and track vehicles. This system can be used in a variety of contexts, such as traffic monitoring and security surveillance.

Using Deep Learning convolutional algorithms, VISU allows:

• Vehicle classification such as: passenger car, truck, motorcycle and other categories.

• Support for multiple video sources such as video files, cameras, and IP cameras.

• Real-time visualization of detected vehicles and route in video.

• Integration with other systems via APIs, such as real-time traffic monitoring or security alerts.

• Export detection and tracking data to CSV files or other formats for further analysis.
  
  

Error-Free Survey

• High accuracy, up to 98% accuracy in vehicle identification and classification

Immediate Results

• Virtually no waiting time, processing is carried out in real time.

Reliable Data

• 24/7 automatic operation

• Reliable data, with access to video and images

• High data workability

• Results processed automatically