Industrial Vision Box
A proven edge AI vision foundation for NXP i.MX 8M Plus, i.MX 93 and other SoCs, adapted to your product. Camera, inference, connectivity and OTA are ready, so your team builds the application, not the platform.
Devices online in our own fleet
Defect rate in volume production
Secure OTA releases
Countries our devices ship to
What it saves you
Most of an edge AI product isn’t the model. It’s the platform underneath it.
Camera integration
Getting cameras, drivers and the image pipeline working on your SoC.
Edge AI on the device
Running models on embedded hardware, not just on a laptop.
Production infrastructure
Connectivity, telemetry, device management and OTA updates for devices in the field.
How it speeds up your product
Less risk from day one
The hard parts already run in production in our own devices, so your project doesn't carry their technical risk.
Costs less than starting from scratch
The project covers adapting a proven foundation to your product, which costs less than building that layer from zero. Your budget goes into your features, not infrastructure.
Months sooner to market
We adapt a proven foundation to your product, so field-ready devices ship sooner.
Yours to use commercially
A one-off licence for your product comes with the project.
What's included
Reusable building blocks for production-ready edge AI products.
Camera integration
Camera drivers and image pipeline on your hardware.
Edge AI inference
Computer vision models running on the device.
Device connectivity
Reliable links from the device to your backend.
Telemetry
Data and events from every device.
Device management and OTA
Configure, monitor and update the fleet remotely.
Production software infrastructure
The foundation to go from prototype to production.
How it works
1. Choose the hardware
NXP i.MX 8M Plus, i.MX 93 or another SoC.
2. Add your vision application
Your model and logic run on top of the ready camera and inference stack.
3. Connect and operate
Connectivity, telemetry, device management and OTA updates are already in place.
4. Go to production
A shorter path from concept and prototype to devices in the field.
See it in action: inventory counting
Use cases
Inventory counting
Counting products on shelves, as shown in the demo.
Visual inspection
Checking parts and products with a camera and edge AI.
Recognition and analytics
Recognising objects and turning camera data into events for your systems.
Safety compliance (PPE detection)
The camera checks that people in a work zone wear a hi-vis vest and helmet, and raises an alert when someone is missing either.
Supported platforms
NXP i.MX 8M Plus, i.MX 93 and other SoCs. Tell us about your hardware and cloud.
Planning something similar?
Tell us where you are. A senior engineer replies within one business day.
Talk to an engineer, not a salesperson
Idea, prototype, production or a fleet in the field: tell us where you are. A senior engineer replies within one business day.
Your benefits:
- Senior embedded engineers
- Hardware, firmware and cloud
- From prototype to fleet
- Clear scope and next steps
- Direct technical answers
- No sales pitch
What happens next?
A free 30-minute call with a senior engineer
A short technical discovery
A proposal with scope, timeline and cost
