Case Study: Omni Camera — Modular Multispectral Edge AI
Product
Omni Camera — Spectral edge vision platform
The Challenge: High-Cost, Rigid Vision vs. Real-World Variability
Traditional multispectral imaging usually requires expensive, bulky equipment and controlled "photo booth" lighting. Clients in agriculture and food processing need the power of spectral analysis but require a low-cost, rugged solution that can be deployed directly onto existing sorting lines, trusses, or packhouses without specialized infrastructure.
The WIRL Solution: We engineered the Omni Camera as a modular, camera-agnostic Edge AI platform. By decoupling the sensor from the processing core and utilizing onboard NVIDIA hardware, we delivered a system capable of complex segmentation and sorting at a fraction of the cost of traditional industrial vision.
1. Modular Multispectral Architecture
Unlike fixed-sensor cameras, the Omni is designed for Spectrums of Interest. Spectrum Flexibility: The modular front-end allows for rapid swapping of sensors to target specific wavelengths (NIR, Red-Edge, etc.), making it adaptable for everything from crop health to food contaminant detection. Camera Agnostic: The architecture is designed to support varying resolutions depending on the use case—whether the client needs high-precision quality sorting or high-speed count-only data.
2. Onboard NVIDIA Edge AI
We integrated high-performance NVIDIA compute directly into the camera module to eliminate cloud dependency. Local Inference: The system performs segmentation, counting, and sorting locally. This ensures real-time performance on high-speed industrial lines where even a 100ms cloud latency would be a failure. Industrial Interface: Built-in protocols to interface directly with industrial equipment (PLCs, sorting gates, and conveyors), allowing the AI to trigger physical actions on the line instantly.
3. "No-Booth" Deployment Logic
We engineered the image pipeline to be resilient enough to work in ambient greenhouse and factory lighting. Environmental Hardening: Designed for both agriculture and food processing environments—built to survive dust, moisture, and frequent wash-downs. Low-Friction Install: No specialized photo booths or controlled lighting required. The Omni is built for the "dirty" reality of the production floor, designed to be mounted and calibrated by existing facility crews.

Omni Camera
Product visualization
Technical summary
Technical Summary
Compute
Onboard NVIDIA Edge AI.
Optics
Modular Multispectral / Camera Agnostic.
Applications
Real-time counting, sorting, and semantic segmentation.
Interface
Direct Industrial Equipment Integration (I/O & PLC).
Environment
Food Grade / Greenhouse Hardened.
Omni Camera
Front, side, rear, and top views

Next engagement
Engineering modular edge vision for production lines?
WIRL delivers optics modularity, NVIDIA-class embedded compute, industrial control interfaces, and enclosure DFM as one program.
