COMPUTER VISION

Computer Vision
for Enterprises

Computer Vision enables machines to understand and analyze the visual world as humans would, but at a scale and speed impossible manually. At NeuroVista, we develop computer vision solutions that transform your images and videos into actionable data: automated quality control, anomaly detection, object recognition, intelligent OCR, and real-time video analysis.

Concrete Use Cases

99.2%

Defect detection accuracy on an automotive production line

-95%

Quality control time reduction through visual automation

50ms

Detection latency for a real-time surveillance system

+40%

Document entry productivity improvement via intelligent OCR

24/7

Continuous visual monitoring without fatigue or human errors

Our Approach

Computer Vision projects require special attention to data quality and deployment constraints.

01

Audit & Scoping

Analysis of your existing images/videos, quality and quantity evaluation. Performance metrics definition adapted to your use case.

02

Proof of Concept (POC)

Representative dataset collection and annotation. Multiple architecture benchmark. Performance validation with your business teams.

03

MVP & Industrialization

Training on complete dataset, model optimization (quantization, pruning). Inference pipeline development and system integration.

04

Production & Optimization

Deployment (cloud, edge, or embedded), performance monitoring, and continuous improvement via active learning.

Deliverables

Trained and optimized vision models
Annotated and documented dataset
Real-time inference pipeline
Prediction APIs (REST, gRPC)
Results visualization interface
Feedback and active learning system
Technical documentation and integration guides
Operator and maintainer training

Key Technologies

PyTorchJAXTransformersvLLMTensorRT-LLMTriton Inference ServerRayLangGraphLlamaIndexHugging FaceReactNext.jsTypeScriptNode.jsBunGoRustFastAPIgRPCPostgreSQL

Frequently Asked Questions

Give eyes to your processes

Discover how computer vision can automate your visual inspections.

Discuss your project