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Edge AI Visual Computing Server(T4-CBA01)
MODEL: T4-CBA01
Product Introduction
This product is an industrial grade intelligent analysis device designed and developed for the intelligent upgrade of front-end ordinary network cameras, integrating various technologies such as audio and video decoding, data transmission, storage, and intelligent algorithms. It is connected to multiple ordinary network cameras to input video and intelligently analyze objects appearing in the image. It mainly has functions such as facial capture, facial tracking, and facial recognition, outputs abnormal alarm signals, and realizes abnormal behavior alarm. The device is easy to deploy, operate, and has strong environmental adaptability. It can be used for upgrading traditional security scenarios, community renovation, and other scenarios.
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Quality Assurance
24/7 Customer Service
Products Function
- Equipped with AI chip
- Industrial control-level intelligent equipment designed and developed for the intelligent upgrade of front-end ordinary network cameras
- Small and convenient size
Products Feature
- Can simultaneously access 2-4 code streams for upgrading traditional security scenarios, community renovations, and other scenarios
- Features such as facial capture, facial tracking, and facial recognition
Production Parameters
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Model |
T4-CBA01 |
T4-CBA02 |
| Processor | AI Processor | AI Processor |
| CNN Computational Power | 1.2 TOPS | 4 TOPS |
| Size | 123*88*38mm | 36*150*181mm |
| Memory | 1GB DDR4 | 4GB DDR4 |
| Storage | 8GB EMMC | 32G EMMC, including 2.5-inch 1T hard drive |
| Interface | Ethernet interface, USB interface | Ethernet interface, USB interface, audio interface, HDMI interface, alarm interface |
| Communication Protocol | HTTP、TCP/IP、IPv4、RTSPs | ONVIF、RTSP、GB/T 28181 |
| Ways | 2~4 routes | 8 routes |
| Supports Facial Features | Face capture, face tracking, and face recognition | Face capture, face tracking, and face recognition |
| Face Database | 50 thousand | 300 thousand |
| Work Environment | -25°C 〜70°C | 20°C 〜 60°C |
| Power Supply Method | DC 12V, POE | DC 12V, 3A |
Function and specification
Support 2～8 stream input
Support multi-person face detection, capture, de-duplication, and selection
Open source docking interface, which can dock with various cloud interfaces such as https and mqtt
Support wifi, 4G and other interfaces
Support to capture and analyze face gender and age
| Function | Specification | |
| Detection & Capture | Numbers of snapshots | 4 |
| Detection angle | Vertical <45° pitch; left and right <65° side face | |
| Smallest pixel | (Interpupillary distance20*20) | |
| Face quality threshold | Support | |
| Detection performance | The number of faces detected in a single frame is greater than 30, real-time monitoring at 25fps | |
| Zone defense | Support | |
| Capture model | Output the best image after the person leaves | |
| Capture type | Face image and background image | |
| Front face capture rate | >99% | |
| Picture uploading | MQTT/HTTP/local, open docking code, dock with any cloud service | |
Application scenarios
It is suitable for the secondary AI transformation of original surveillance such as security, supermarkets, and communities
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