

LITE


LITE


Lite Rugged


| Form Factor | Slim enclosure | Reinforced square rugged enclosure |
|---|---|---|
| CPU | Cortex A7 1.2GHz | Cortex A7 1.2GHz |
| NPU | 0.5 TOPS, int4/int8/int16 | 0.5 TOPS, int4/int8/int16 |
| VEPU | H.264/H.265 video encoding | H.264/H.265 video encoding |
| ISP | Max input 4M @30fps | Max input 4M @30fps |
| Memory | 64MB DDR2 | 64MB DDR2 |
| Networking | Wi‑Fi / Ethernet / 4G expansion (by SKU) | Wi‑Fi / Ethernet / 4G expansion (by SKU) |
| Cooling | Low‑power passive cooling, fanless | Low‑power passive cooling, fanless |
| Enclosure | Compact, slim, low profile | Reinforced structure, better impact resistance |
| Protection | IP67 | IP67 |
| Recommended Models | YOLOv5n, MobileNet, lightweight classification and detection models | YOLOv5n, MobileNet, lightweight classification and detection models |
| Recommended Input Size | 320×320 / 416×416 (model‑dependent) | 320×320 / 416×416 (model‑dependent) |
| Typical Capabilities | Person detection, fire/smoke, zone intrusion, helmet/vest detection, simple classification | Person detection, fire/smoke, zone intrusion, helmet/vest detection, simple classification |
The Lite series uses a lightweight edge AI architecture for stores, warehouses, small production lines, clinics, showrooms, and other single‑point intelligence scenarios. Devices run object detection, zone rules, event alerts, and result reporting locally without relying on large servers.







Person detection, zone intrusion, dwell detection, and anomaly alerts.

Lightweight security for people, safety zones, fire, and smoke.

Basic object recognition, zone rules, and equipment status assist.

Low‑power local operation for compact intelligent deployments.

Lightweight detection, tracking, and state‑machine rules for motion events.
