VISNET Framework

VISNET Framework is a headless, multi-compatible universal neural networks interface for researching, developing, and deploying off-the-shelf AI models. It provides a modular frontend with serverless architecture, supports REST API and WebSocket, and includes a high-performance ASGI gateway with DDoS protection and IP filtering. The framework integrates an authentication protocol layer featuring OAuth 2.0, pin access, RSA encryption, and blacklisting. Core AI models cover translation, license plate recognition (supporting up to 20 vehicles per frame at 30 fps), and face feature matching. The research team specializes in deep vision systems for surveillance, autonomous drone structural inspections, and advanced image and video analysis, as well as live audio transcription with multilingual support.

Key Benefits

• Headless and multi-compatible architecture
• Supports REST API and WebSocket
• Includes OAuth 2.0 and RSA encryption for security
• High-performance license plate recognition (600 vehicles/second)