Edge AI & Computer Vision
Vision and AI that run on the device: camera pipelines, on-device inference and models you can update across the fleet. Start from our Industrial Vision Box platform instead of building the stack from zero.
OTA releases shipped to our own fleet
Devices online
Fleet monitoring and support
Countries our devices ship to
The problem
Models that work in a notebook often miss latency, power or thermal targets on real hardware, and there is no plan for updating them in the field.
Lab model, field hardware
Models that work on a workstation miss latency, power or thermal targets on the device.
Camera pipeline issues
ISP tuning, drivers and frame handling consume months.
No model update path
Models cannot be improved once devices ship.
What we do
A running on-device pipeline, a benchmark report (latency, accuracy, power) and the tooling to deploy and update it. Most of an edge AI product is the platform under the model, so we start from our Industrial Vision Box accelerator.
Camera and image pipeline
Camera drivers, ISP and image pipeline integrated on your hardware.
Model optimisation and quantisation
Your model ported and optimised for the NPU, GPU or DSP on the target device.
On-device inference applications
Computer vision models and application logic running on the device, such as inventory counting, visual inspection and object recognition.
Connectivity and telemetry
Reliable links from the device to your backend, turning camera data into events for your systems.
Model delivery via OTA and monitoring
Configure, monitor and update models and software across the fleet remotely.
Hardware selection for AI workloads
Choosing the SoC and accelerator for your workload, with NXP i.MX 8M Plus and i.MX 93 supported out of the box.
Start from a working edge AI platform
The Industrial Vision Box is our edge AI vision platform for NXP i.MX 8M Plus, i.MX 93 and other SoCs. Camera, inference, connectivity, telemetry and OTA are already in place, so your team builds the vision application, not the platform.
1. Choose the hardware. 2. Add your vision application. 3. Connect and operate. 4. Go to production.
Our Engineering Process
From board bring-up to a maintained software stack you own.
1. Audit and plan
2. Bring-up
3. Feature development
4. Hardening
5. Handover and support
Related Case Studies
How we engineered a modular light where every panel has its own electronics and firmware, yet any shape on the wall maps itself with one phone scan and updates over the air as one product.
How we turned data from hundreds of inverters, meters and gateways into live, branded screens that install in about 10 minutes and run 24/7, managed and updated over the air.
Related accelerators
Service Category
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.
Planning something similar?
Tell us where you are. A senior engineer replies within one business day.
Related services
Board support packages that boot reliably, support all your peripherals and can be upgraded for the life of the product.
Choose the processor, SoM and peripherals that will still make sense at volume: performance, power, BSP quality, lifecycle and cost.
Over-the-air updates that never brick a device: A/B partitions, signed images, rollback and staged rollouts.
FAQ
Can you port our existing model?
Do we have to build the platform from scratch?
Which hardware do you support?
Can models be updated after devices ship?
What accuracy can we expect?
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
