Embien designs and builds embedded vision systems — from camera and sensor selection through computer vision embedded on Jetson, ARM, and FPGA platforms — for products that need to detect, classify, and respond without waiting on a cloud round trip. If your product needs smart vision systems that run reliably at the edge, talk to a team that has already shipped them.
A trained model is not an embedded vision systems product. Getting computer vision embedded on a real device means matching the model to the silicon, managing thermal and power budgets, and pipelining camera capture through inference to an action — all inside a product enclosure, not a workstation GPU.
Embien has done this the hard way: our team built a real-time face recognition access control system on Jetson Nano, taking a computer vision model from a research notebook to a deployed embedded product with camera capture, on-device inference, and access-control logic running together in real time. That same discipline underpins every smart vision systems engagement we take on, whatever the target hardware. For the technical grounding behind it, see our Insight on smart vision for smarter embedded systems.
Four engineering disciplines that separate a working embedded vision systems product from a demo that only runs on a lab bench.
Sensor selection, lens and optics matching, and camera driver bring-up tuned for the vision task, not a generic webcam pipeline.
Model porting and optimization so computer vision embedded on-device meets frame-rate and latency targets, not just accuracy benchmarks.
Wiring inference output into the product's actual decision logic — access control, quality inspection, tracking — so smart vision systems don't stop at detection.
Thermal, power, and reliability engineering so an embedded vision systems prototype survives the transition to a shipped product.
The services buyers combine to take embedded vision systems and smart vision systems from concept to a real, deployed product.
Camera pipelines, model deployment, and analytics for embedded vision systems running at the edge.
AI-based embedded vision system development matched to the right processor — Jetson, ARM SoC, or FPGA.
See the real face-recognition access-control system Embien built on Jetson Nano — computer vision embedded, deployed, and running.
Share your camera hardware, target platform, and the decision your product needs to make. Our team can help scope the embedded vision systems work that actually gets you there.
We've deployed computer vision embedded on NVIDIA Jetson, ARM-based SoCs, and FPGA-accelerated platforms, matching the processor to the model's real-time and power requirements rather than defaulting to one platform.
Tell us about your camera hardware and the decision your product needs to make in real time.