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VisionMax

Embedded AI video analytics at the edge

Embedded AI video analytics with real-time detection, tracking, and object classification.

AI AnalyticsDetectionEmbedded
Edge AI Platform
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VisionMax
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AI Capabilities

Object Detection

Real-time detection of people, vehicles, and custom objects using deep learning models optimized for edge inference.

Ready

Object Tracking

Multi-object tracking with persistent IDs across frames, supporting occlusion recovery and re-identification.

Ready

Image Stabilisation

Electronic image stabilisation compensating for platform vibrations, maintaining stable video output at all times.

Ready

Video Analytics

Automated event detection, zone intrusion alerts, and configurable analytics pipelines for operational intelligence.

Ready

Edge Processing

On-device AI inference with GPU acceleration, minimizing latency and eliminating cloud dependency for critical operations.

Ready

Multi-Stream

Process multiple video feeds simultaneously with independent algorithm configurations per stream.

Ready
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Technical Specifications
Hardware specifications
Max Resolution4K / 3840×2160
Frame RateUp to 30 FPS
AI Latency< 50 ms
AlgorithmsDetection, Tracking, Stabilisation
Video InputsIP cameras (RTSP/ONVIF)
ProtocolsRTSP, ONVIF, HTTP
ProcessingGPU-accelerated (CUDA)
DeploymentEmbedded Linux
Software Release
Version

Discover the VisionMax range

Explore our embedded hardware systems designed to run VisionMax.

Discover the VisionMax range
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Quick start
01

Install VisionMax

Flash the VisionMax image and connect it to your network following the setup guide.

02

Connect video sources

Configure IP cameras and video inputs through the VisionMax web interface.

03

Configure AI algorithms

Enable tracking, stabilisation, and detection algorithms. Adjust parameters for your use case.

04

Start processing

Launch the video processing pipeline and monitor performance via the dashboard.

Access full documentation and video tutorials

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FAQ

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Get Started

Ready to deploy VisionMax?

Download the latest firmware or contact our team for integration support and a personalized demonstration.