Computer Vision
Computer Vision Solutions
Build systems that understand images and video—detection, classification, tracking, and analytics.
Use cases
- Object detection and counting
- Quality inspection and defect detection
- Video analytics and event detection
- Visual search and similarity matching
Delivery
- Data strategy, labeling guidance, and evaluation
- Model selection/training and edge/cloud deployment
- Integration APIs + dashboards
- Monitoring and continuous improvements
Capabilities
A focused set of capabilities designed for production delivery.
Detection & Tracking
Count, track, and detect objects in images and video.
Inspection & QA
Defect detection, compliance checks, and quality inspection workflows.
Similarity Search
Embedding-based visual search and de-duplication pipelines.
Edge + Cloud Deployment
Deploy where it makes sense—devices, edge, or cloud.
Data & Labeling Strategy
Guidance on sampling, labeling, evaluation, and iteration.
Monitoring
Track drift, performance, and reliability over time.
Delivery approach
From discovery to deployment, we keep it measurable and predictable.
1
Use-case definition
Clarify targets, constraints, camera setup, and success metrics.
2
Dataset and evaluation
Build a representative dataset and measure baseline performance.
3
Model + deployment
Train/select models and deploy with monitoring and performance targets.
4
Iterate
Continuously improve with new data and real-world feedback.
Ready to get started?
We can share a short plan and a realistic timeline within a few days.
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