The SenseNebula-AIE edge node from SenseTime provides lightweight, low‑power AI processing for video and image streams in security and smart‑building…
SenseNebula-AIE is an AI‑enabled edge computing device that integrates SenseTime’s proprietary algorithms with hardware to deliver real‑time analysis of video and image streams. It supports facial, body and vehicle recognition, offering flexible algorithm scheduling and edge‑cloud collaboration for a variety of front‑end devices such as cameras, snap‑shooters and access control units.
Designed for easy deployment, the device features a low‑power, lightweight design, POE or external power options, and a robust industrial‑grade build that can operate continuously in harsh temperature environments. It provides up to 12 video streams or 24 image streams, a 30‑million face library, and secure data handling through hardware encryption and HTTPS APIs. This manual is written in Chinese.
| CPU | ARM |
|---|---|
| GPU | Edge Computing GPU |
| Memory | 8GB DDR4 |
| Storage | 64GB eMMC |
| Dimensions | 169 mm × 103.5 mm × 33.8 mm |
| MTBF | >100,000 hrs |
| Maximum Video Streams | 12 |
| Maximum Image Streams | 24 |
| Power Options | POE or external power supply |
It supports face, body and vehicle analysis, allowing multi‑algorithm fusion and free scheduling.
A single device can handle up to 12 video streams simultaneously.
The device can be powered via POE or a standard power supply.
It can process up to 24 image streams at once.