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Shixinda AI AI Video Analytics Edge Mini Station (16 TOPS)

Shixinda AI AI Video Analytics Edge Mini Station (16 TOPS) Product Image

Shixinda AI AI Video Analytics Edge Mini Station (16 TOPS)

Legacy Cameras + Shixinda AI Brain: Designed for upgrading and refurbishing medium-to-large scale legacy surveillance systems. No front-end device replacement or wiring modification is needed. Features 16 TOPS computing power, supporting up to 32 channels of HD video decoding and real-time intelligent analytics. Equipped with a 24-core processor, optional 4G/5G/WiFi connectivity enables quick revitalization of your existing surveillance system.

Specifications

| Item | Specification |
| --- | --- |
| Processor | 24-core ARM Cortex-A55 @1.6GHz |
| AI Computing Power | 16 TOPS@INT8 (supports INT16, FP32) |
| Video Capability | 32 channels H.264/H.265 1080p@25fps decoding; 8 channels H.265 1080p@25fps encoding |
| System Memory | 8GB |
| AI Memory | 16GB |
| Storage | 64GB eMMC; supports expansion via 2.5" SATA HDD and M.2 SSD |
| Wireless Expansion | 4G/5G module (M.2 B-Key), WiFi module (optional) |
| External Interfaces | USB3.0×3, LAN×2, RS485×1, RS232×1, HDMI×1, Audio×1, DI/O×4, MicroSD×1, MicroSIM×1 |
| Power Supply | 12VDC 5A |
| Typical Power Consumption | 30W |
| Cooling Method | Passive Cooling |
| Dimensions | 215mm × 200mm × 44mm (Standard 1U Height) |
| Operating Temperature | -20℃ to 60℃ (in ventilated environment) |
| Operating Humidity | <95% |
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Product Introduction: Legacy Cameras + AI Brain

Shixinda AI AI Video Analytics Edge Station (16 TOPS) is designed for intelligent upgrading and transformation of medium-to-large-scale legacy surveillance systems. Traditional video recorders only support playback without early warning capabilities; this product is deployed as a side-by-side component alongside existing surveillance systems, equipping legacy cameras with an AI Brain. It supports up to 32 parallel structured video analyses, automatically identifies security hazards, and triggers real-time alarms, transforming surveillance from a "recording tool" to a "security management assistant".

Upgrade Transformation Value

  • Full Utilization of Legacy Front-End Devices: Compatible with most mainstream cameras on the market, no need to replace front-end devices or rewire
  • Deployment Without Altering Network Architecture: Side-by-side edge access, no modification to the existing network architecture required
  • Multi-Channel Concurrent Upgrade: Up to 32 parallel analyses per single device, one-time transformation to cover the entire surveillance chain
  • Flexible Network Expansion: Optional 4G/5G and WiFi expansion, no need for re-cabling during transformation

Core Features

  • Powerful Computing Power: Peak computing power of 16 TOPS@INT8, supports INT16 and FP32, 4x higher computing power than previous-generation products
  • Data Flow Architecture: End-to-end computing resource utilization up to 90%, ensures low latency even at high throughput rates
  • Multi-Channel Video Processing: 32 channels of H.264/H.265 1080p decoding, plus 8 channels of hardware video encoding, supports up to 32 parallel structured video analyses
  • High-Performance Processor: 24-core ARM Cortex-A55, capable of independent operation of operating systems and upper-layer applications
  • Industrial-Grade Design: Fanless passive cooling, wide operating temperature range of -20℃ to 60℃
  • Open Compatibility: Supports mainstream frameworks including PyTorch, PaddlePaddle, ONNX, as well as custom operators

Typical Transformation Scenarios

Medium-sized campuses, schools, factories, shopping malls, residential communities, etc., with dozens of legacy surveillance cameras. One-time transformation enables intelligent upgrading of the entire surveillance network.

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