Visual quality inspection
Detect surface issues, missing components, assembly errors, and packaging defects at the point where teams can respond.
Accuracy needs context
A benchmark score cannot tell you how a camera system behaves during a shift change, under glare, or when an object is partly hidden. We define acceptable misses and false alarms, capture representative data, and test the complete path from camera to action.
Computer vision applications
Object detection and tracking
Locate, count, and follow selected objects across images or video while accounting for occlusion and scene changes.
OCR and document vision
Extract structured fields from forms, labels, invoices, IDs, and operational documents with validation rules.
Video analytics
Measure events, movement, occupancy, or process stages with privacy and retention controls suited to the environment.
Cloud, private, or edge deployment
Site and data assessment
We inspect image quality, camera position, lighting, network limits, privacy requirements, and existing labels.
Proof with representative data
A focused model is tested on difficult real examples and measured against the decisions it must support.
System integration
Inference connects to cameras, applications, alerts, and review queues with the required latency and throughput.
Monitoring and retraining
Teams can review errors, capture new edge cases, and track model behavior as products or conditions change.
Computer vision questions
How much training data is required?
It depends on variation in the scene, object, and decision boundary. We start with a data audit and a small representative set before estimating the full labeling effort.
Can the model run without sending video to the cloud?
Yes. Edge or on-premise inference can keep footage inside the site and reduce network latency, provided the selected hardware can run the model.
Can you connect to existing cameras?
Often, yes. We first check stream format, resolution, frame rate, placement, and whether the footage provides enough detail for the target task.
How do you handle privacy?
We minimize collected data, define retention rules, restrict access, and can process video locally. The final controls depend on the use case and applicable law.
Test the hardest real examples first
Share a representative sample and the decision your operation needs to make.
Request an assessment