Industrial Edge-AI Camera
The Alp Lab Industrial Edge-AI Camera is a production-ready vision system built on the E1M-X V2N-M1 module, delivering 25 TOPS of on-device inference in a ruggedised enclosure with flexible lens-mount and connectivity options.
At a glance
| Parameter | Value |
|---|---|
| Compute module | E1M-X V2N-M1 (RZ/V2N + DEEPX DX-M1) |
| AI performance | 25 TOPS (dense) |
| Lens mounts | C-Mount, CS-Mount, M12 |
| Ingress protection | IP67 (sealed) / IP20 (open) |
| Connectivity | USB-C, PoE (IEEE 802.3af/at) |
| OS | Yocto Linux |
| Indicative price | $599 |
Key features
- 25 TOPS on-device inference for real-time quality inspection, object detection, and classification
- Multiple lens-mount options — C-Mount, CS-Mount, and M12 — to suit a wide range of industrial optics
- IP67-rated enclosure for harsh environments (dust, water jets, washdowns); IP20 variant for clean indoor installations
- Dual connectivity — USB-C for development and local integration; PoE for single-cable deployment with power + Ethernet
- Full Linux stack with DRP-AI3 and DEEPX M1 accelerator support
Enclosure variants
| Variant | Ingress protection | Use case |
|---|---|---|
| IP67 | Dust-tight, water-jet proof | Factory floors, outdoor, washdown areas |
| IP20 | Finger-safe | Clean rooms, indoor inspection stations |
Lens compatibility
The camera accepts standard industrial lenses via three interchangeable mount options:
- C-Mount — 1" flange distance, widely used in machine vision
- CS-Mount — 12.5 mm flange distance, compact form factor
- M12 — Board-level mount for miniaturised lens assemblies
Connectivity
USB-C
- High-speed data transfer for model deployment and log retrieval
- 5 V power input for bench-top development
- Serial console access for debugging
Power over Ethernet (PoE)
- IEEE 802.3af/at compliant
- Power + Gigabit Ethernet over a single Cat5e/Cat6 cable
- Ideal for distributed camera networks in factory settings
Software
The Industrial Camera runs the same Linux BSP and AI toolchain as the standalone E1M-X V2N-M1 module — same Yocto image, same <alp/inference.h> dispatcher, same DEEPX userland (libdxrt.so). Pre-built application images are available for common machine-vision use cases.
Getting started
- Mount the camera and attach a compatible lens.
- Connect via USB-C (development) or PoE (deployment).
- Access the camera's web interface or SSH terminal.
- Deploy an AI model via the
<alp/inference.h>dispatcher or a pre-built application image.
Resources
- E1M-X V2N-M1 module — the compute platform inside
<alp/inference.h>— DEEPX dispatcher- Industrial inquiries
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