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magicEye
Smart AI Box Intelligence.
Key Features
AI Edge Processing
Processes AI directly on the device without relying on the cloud, reducing latency and bandwidth usage.
Multi-AI Suppor
Supports various AI applications such as video analytics, object detection, face recognition, and smart surveillance.
GPU / NPU Support
Equipped with dedicated AI accelerators to enhance performance.
Real-time Processing
Enables instant image and video analysis with real-time inference.
Multi-channel Video Input
Supports multiple camera inputs simultaneously, ideal for CCTV and digital signage.
High Performance Computing
Handles heavy workloads, including running multiple AI models at the same time.
Low Power Consumption
Design for energy efficiency,
suitable for edge deployment.
Flexible Deployment
Can operate as a standalone system or integrate with larger systems (hybrid or cloud-based).
Industrial-grade Design
Built for real-world environments such as factories, smart cities, and signage applications.
Integration Friendly
Easily integrates with other systems such as VMS, IoT, and smart city platforms.
Schematic of AI BOX
Highlights of AI BOX
UP TO 16
CAMERAS PER AI BOX
Supports 16-channel video structured analysis and multiple behavior analysis algorithms
ALGORITHMS ACCURATE AND CUSTOMIZABLE
Support person/vehicle/environment/object recognition by customizable algorithms and multi-channel video structured analysis, and trigger an action pusher to a 3rd party system
FAST DEPLOYMENT, UPGRADE EXISTING CCTV
Flexible and lightweight, easy to deploy; Convert your existing IP camera to AI functioning camera, enabling seamless integration and real-time analysis (No need to change existing systems)
CROSS-CAMERA
RECOGNITION
Integrate independent and dispersed CCTV video information systems in different regions for centralized analysis and management