Computer vision
Image detection, classification, tracking and analysis. Datasets and business metrics.
En clair : Machine vision serves a measurable objective.
In plain terms
Decide as close to the signal as possible.
Embedded models for inspection, detection, and real-time analysis under energy / latency constraints. Training can stay in the cloud; inference stays at the edge when the need requires it.
Sensor fusion and scoring for robust decision support in the field. A single camera is not always enough.
Embedded deployment: quantization, runtime, monitoring and updates. An unoperated model falls back to a POC.
Typical use cases: quality control, perimeter security, maintenance and robotics. Each case has its own precision and false-positive metrics.
EdgeLocal inference
FPSReal time
FP↓Less noise
OTAModel updates
What we do
See and decide locally.
From camera to edge decision, with supervision and an improvement loop.
Edge AI
Local inference on embedded systems. Energy and latency budgets.
En clair : The decision does not wait for the cloud.
Data fusion
Sensors, scoring and decision support.
En clair : Multiple signals, a more reliable conclusion.
Embedded deployment
Model, runtime, and monitoring optimization.
En clair : The model lives in production, not only in a notebook.
Continuous evaluation
Precision, recall, false positives, and drift.
En clair : We recalibrate when the field changes.
Frequently asked questions
Vision & edge AI — questions.
Cloud for training?
Often yes; inference stays at the edge for latency and availability. MLOps pipelines connect both worlds.
Typical use cases?
Quality control, perimeter security, maintenance, and robotics. We define success metrics before the model.
How many false positives are acceptable?
It is a business trade-off. We calibrate thresholds and escalations so the system gets used.
Specialized hardware?
Cameras, accelerators and edge compute sized to the load. Choice follows the scenario, not a mandated brand.
Surveillance link?
Yes: edge vision often feeds detection and alerting, with local filtering.
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