Control
Defects get caught on the line, before they reach the customer.
COMPUTER VISION
Computer Vision
for images, documents and operations
Computer vision can help read documents, assist quality control or qualify images and video. We assess data, hardware and operating conditions before choosing an approach.
What vision automates
Reading
Invoices, slips and forms transcribe themselves, with no re-keying.
Watching
Critical scenes get analyzed in real time, day and night.
Edge
Inference can run close to the cameras when latency, connectivity or data handling call for it.
Constancy
The same rigor at the first check of the morning and the last of the evening.
Our Approach
In vision, data quality and deployment constraints decide the outcome.
- 01
Audit & Scoping
Analysis of your existing images and videos, in quantity and in quality. Performance metrics get defined with the field: precision, recall, latency.
- 02
Proof of Concept (POC)
Collection and annotation of a representative dataset. Several architectures compete, validated on real situations with your teams.
- 03
MVP & Industrialization
Full training and model optimization for your hardware. Integration with cameras and production lines.
- 04
Production & Optimization
Cloud, edge or embedded deployment, with supervision. Hard cases feed the retraining.
Deliverables
- 01Trained and optimized vision models
- 02Annotated and documented dataset
- 03Real-time inference pipeline
- 04Prediction APIs (REST, gRPC)
- 05Results visualization interface
- 06Feedback and active learning system
- 07Technical documentation and integration guides
- 08Operator and maintainer training
Key Technologies
PyTorchJAXTransformersvLLMTensorRT-LLMTriton Inference ServerRayLangGraphLlamaIndexHugging FaceReactNext.jsTypeScriptNode.jsBunGoRustFastAPIgRPCPostgreSQL
Frequently Asked Questions
NeuroVista, Paris
Give eyes to your processes
Let's see what your cameras and documents allow you to automate.
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