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AI Video Analysis Algorithm Box
The AI edge computing server box (AIbox-03) is an intelligent application server integrating 100+ AI algorithms. With an 8-core 2.4G processor and up to 6T of compute, it deploys AI to the edge quickly, plug and play, for fast AI enablement.
AI Box / May 2024
Model: AIBox-03
The AI edge computing server box (AIbox-03) is an intelligent application server integrating 100+ AI algorithms. With an 8-core 2.4G processor and up to 6T of compute, it deploys AI to the edge quickly, plug and play, for fast AI enablement.
2. Product Features
- Supports multiple pretrained AI computer-vision algorithm models.
- Supports ingest over RTSP, WebRTC, RTMP, HTTP-FLV, Websocket-FLV, HLS, and similar protocols.
- Compute and application in one: compute and the application platform combined, for integrated edge deployment.
- Supports remote device upgrade (when the device is online)
- Open interfaces, supporting secondary development and integration
- Training and inference in one: supports custom AI algorithms. (A training platform can be provided, with self-service annotation and self-service training.)
- Storage and compute in one: supports multi-channel video stream aggregation (NVR), and video storage and playback. (An SD card is required.)
- Different cameras can be assigned different algorithm analysis tasks
- Supports northbound streaming (RTSP/GB28181)
3. Specifications
| Product | AI edge computing box |
|---|---|
| System parameters | |
| System | ARM Linux (Ubuntu 20.2, Debian 10) |
| CPU | Octa-core, frequency up to 2.4GHz |
| GPU | Mali-G610 MC4 |
| NPU | 6 Tops AI compute, triple-core architecture |
| Storage | Standard 8GB LPDDR4, 128GB storage (eMMC) |
| Display interface | 1 HDMI 2.1, up to 8K output |
| Interfaces | 4 USB2.0, 2 USB3.0, 1 USB OTG |
| 2 RS232 serial ports (RS485 optional) | |
| Network | |
| Network | 2 RJ45 + WIFI, optional 4G all-network |
4. Product Photos
5. AI Algorithms
1. Inference capability
Multiple AI algorithms, with customization for the application scenario.
| Standard algorithm set | People: crowd gathering detection, illegal intrusion detection, person climbing, absence-from-post detection, monitoring-room absence detection, elevator entrapment detection, entry and exit detection, sleeping-on-duty recognition, smoking recognition, and other behavior analysis |
|---|---|
| Vehicles: muck truck recognition, e-bike entering an elevator recognition, vehicle wrong-way recognition, non-motor vehicle illegal parking detection, vehicle illegal parking recognition, jaywalking recognition, heavy machinery recognition, pedestrian and vehicle separation recognition | |
| Objects: exposed earth pile detection, work uniform recognition, reflective vest recognition, face mask recognition, e-bike helmet recognition, insulating glove recognition, safety helmet recognition, fire extinguisher placement detection, protective clothing recognition, cat and dog recognition | |
| Environment: road litter recognition, flame recognition, flame detection, overflowing garbage recognition, corridor clutter recognition, open-door recognition for equipment rooms / power rooms / unit entrances, street-vending recognition, smoke recognition, smoke detection |
2. Intelligent Computing Platform
3. Management Platform
Cloud management platform, including algorithm management, algorithm update delivery, and remote box maintenance.
6. Algorithm Customization
Custom development process for deep-learning AI vision algorithms:
1. Annotate images and videos sampled on site;
After the model is generated, convert it to an RKNN model for the RKNPU chip;
7. Application Scenarios
Smart community / park
Algorithms and product applications: parking in a fire lane, area intrusion recognition, fall recognition, smoke and open flame recognition, boundary crossing detection, street vending, people counting, elevator e-bike detection, and other algorithms. Widely used for identity verification of people and vehicles at entry and exit, illegal parking, environmental sanitation checks, recognition of violations and uncivil behavior, and fire-hazard detection.
Algorithms and product applications: fire and smoke recognition, hazardous area recognition, loitering recognition, person detection, person lingering, illegal fishing / stranger intrusion, fall recognition, license plate recognition, and other algorithms. Widely used in villas, courtyards, fish ponds, farms, planting and breeding bases, and unattended stores.
Food-service stores
Algorithms and product applications: customer-flow counting, VIP customer recognition, smoking recognition, phone-call recognition, rodent recognition, chef uniform and hat detection, unattended open flame, staff procedure compliance, smoke and open flame recognition, overflowing trash bins, and other algorithms. Widely used in schools, food service, hospitals, and similar sites.
Smart campus
Student behavior analysis
Jumping detection, running recognition, fall recognition, running recognition, climbing recognition, fighting recognition, fire and smoke detection, smoking recognition, mobile phone recognition, tripwire detection, area detection;
Classroom behavior analysis
Raising a hand, standing up, head on the desk, reading, writing, looking up, looking down, using a phone
Teacher behavior analysis
Board writing, stepping on and off the podium, using a phone, making a phone call, whether seated, presenting PPT
Questions
What is the compute of AIBox03?
The CPU is octa-core, with a maximum frequency of 2.4GHz. The GPU is Mali-G610 MC4. The NPU is 6 Tops, with a triple-core architecture. Standard configuration is 8GB LPDDR4 memory and 128GB eMMC storage.
What operating system does AIBox03 run?
The system is ARM Linux, with Ubuntu 20.2 or Debian 10 optional. Display output is 1 HDMI 2.1, supporting up to 8K.
How does AIBox03 ingest video and connect to the network?
It supports RTSP, WebRTC, RTMP, HTTP-FLV, Websocket-FLV, and HLS ingest, and can assign different algorithms to different cameras. Networking is 2 RJ45 ports plus Wi-Fi, with optional 4G, and it also supports northbound RTSP and GB28181 streaming.
Which scenarios is AIBox03 suited for?
Application scenarios on the page include smart communities and parks, food-service stores, and smart campuses. Algorithms cover people, vehicles, objects, and environment detection, and algorithms can also be customized from on-site samples.