Purpose
Infravisn ai (Visnet) is used for research, development, and deployment of ready-made AI models. It is a general-purpose compatible framework that brings together all SOA neural network models related to NLP and deep vision systems. It is intended for scenarios that need to integrate multiple AI capabilities, including surveillance, autonomous drone inspection, advanced image and video analysis, and more.
Main Capabilities
- Facial feature recognition: It has defense-grade complex authentication and registration functions, and can simultaneously analyze facial features for identity recognition, eye tracking, emotion and age detection, with high efficiency and concurrent working capability.
- Drone structural inspection: It performs autonomous automated inspection of concrete structures, detects and identifies structural defects, and can handle multiple defects simultaneously.
- Audio transcription: It provides real-time transcription, uses high-performance hand-crafted custom models, and supports multiple languages.
- License plate recognition: A single frame supports detection and number recognition of up to 20 vehicles, at a frame rate of 30fps, meaning 600 vehicles can be recognized per second.
Usage
According to the materials, the framework has a modular frontend, multi-compatibility, Vercel deployment, REST API and WebSocket interfaces, a Visnet high-performance gateway, and an authentication protocol layer. Specific installation commands, code examples, and detailed usage steps are not yet provided.
Applicable Scenarios
- Surveillance and security
- Autonomous drone inspection
- Advanced image and video analysis
- Applications requiring facial recognition, structural defect detection, real-time audio transcription, or license plate recognition
Limitations
The materials do not provide information about fees, pricing, platform support, performance metrics, or specific usage restrictions, and none is currently provided.
