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Shixinda AI’s AI Video Analytics Edge Mini Station (8 TOPS)

Shixinda AI AI Video Analytics Edge Mini Station (8 TOPS) Product Image

Shixinda AI’s AI Video Analytics Edge Mini Station (8 TOPS)

Legacy Cameras + AI Brain: Deployed as a side-attached unit to your existing surveillance system without replacing front-end devices or modifying wiring, it can upgrade your existing cameras into smart AI video analytics nodes. Equipped with 8 TOPS computing power, it supports 16-channel HD decoding and 8-channel real-time intelligent analytics. The fanless wide-temperature design is ideal for fast retrofitting of small-scale sites.

Specifications

### Hardware Parameters
| Item | Specification |
| --- | --- |
| Processor | 8-core ARM Cortex-A55 |
| AI Computing Power | 8 TOPS@INT8 (supports INT16, FP32) |
| Video Capability | Hardware decoding for 16 channels of 1080P HD video; 8 channels of AI video analytics |
| Operating System | Domestic Operating System (openEuler) |
| Storage | eMMC, with support for 2.5" SATA / M.2 SSD expansion |
| External Interfaces | Rich interfaces including USB3.0, LAN, RS485, RS232, HDMI, DI/O, MicroSD, etc. |
| Cooling Method | Fanless Passive Cooling |
| Operating Temperature | -20℃~60℃ |
| Operating Humidity | <95% |
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Product Introduction: Legacy Cameras + AI Brain

The Shixinda AI AI Video Analytics Edge Node (8 TOPS) is an intelligent analysis device designed for legacy surveillance system upgrades. Traditional surveillance systems only "capture footage and store data" but cannot proactively detect security hazards. This product is side-deployed on existing surveillance systems, endowing old cameras with an AI brain. It automatically identifies events such as non-wearing safety helmets, perimeter intrusion, open flame and smoke, personnel absence, and sends real-time alerts, upgrading the operation mode from "retrospective video review" to "real-time pre-incident warning".

Upgrade Transformation Value

  • Maximize Utilization of Existing Front-End Devices: Compatible with mainstream cameras on the market, no need to replace front-end hardware or modify original cabling
  • Deployment Without Network Reconfiguration: Supports side-deployment as an edge node, no changes to existing network architecture required, with renovation cycles measured in days
  • Low Transformation Cost: One device can revitalize the entire surveillance chain, avoiding a "rip-and-replace" overhaul
  • Plug-and-Play: Algorithms are configured by selecting points, no programming required, enabling quick go-live

Core Features

  • High Cost-Performance Ratio of Computing Power: 8 TOPS@INT8 peak computing power, supports INT16 and FP32 operations, ensuring low latency under high throughput
  • Data Flow Architecture: End-to-end computing power utilization up to 90%, delivering higher actual computing power
  • Multi-Channel Video Analysis: Supports hard decoding of 16 channels of 1080P HD video and parallel AI analysis of 8 channels
  • Industrial-Grade Design: Fanless passive cooling, wide operating temperature range of -20°C to 60°C, suitable for outdoor and harsh environments
  • Open Compatibility: Supports mainstream deep learning frameworks and comprehensive SDK, enabling expansion of new algorithms as business needs grow

Typical Transformation Scenarios

Small parks, retail stores, school gate posts, construction project departments, etc., with a small number of scattered legacy surveillance cameras, to achieve intelligent surveillance upgrades at the lowest cost

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