Computer Vision Quality Inspection
Introduction - computer vision quality inspection
This is a specific, well-proven computer vision application: automated visual defect detection on a production line - scratches, misalignment, color inconsistencies, missing components - flagged in real time as products move past a camera, augmenting or reducing manual inspection workload.
Unlike general computer vision (our broader service), this is trained specifically on your product and your defect types, since "defect" looks completely different across industries and even between product lines.
Why this needs your specific defect data, not a generic model
A generic "defect detection" model trained on someone else's products doesn't transfer well - your specific defects, lighting conditions, and camera angles need their own training data. This means the project genuinely starts with defect images from your actual line, which takes real time to collect if you don't already have a labeled sample set.
We design for augmenting human inspectors initially - flagging likely defects for human confirmation - rather than fully autonomous rejection, until accuracy is proven on your specific line over real production runs.
What's included
- Camera and lighting setup assessment for your production line
- Model training on your specific product's defect types
- Real-time inference integrated with your line's pace
- Human-confirmation workflow before full autonomous rejection
- Accuracy tracking against manual inspection as ground truth
- Dashboard for defect rate trends and inspection statistics
Our process
1. Assess line & collect sample data
We evaluate your camera/lighting setup and collect a sample of both good and defective products to assess feasibility.
2. Train & validate against real production
The model gets trained and validated against your actual defect types, benchmarked against your current manual inspection accuracy.
3. Pilot with human confirmation
The system runs alongside manual inspection initially, flagging likely defects for human confirmation before any autonomous rejection is enabled.
Pricing
Cost depends heavily on how many distinct defect types need detection and whether new camera hardware is required. Range: Rs 100,000 - 600,000 - indicative, final quote after discovery. Request a quote or WhatsApp +92 324 2991303.
Industries we serve
Manufacturing lines with visual quality control needs - electronics assembly, textiles, packaging, and food/beverage production with visible defect categories.