Computer vision—AI that understands images and video—has matured to practical business utility. Here's what's working.
Working Applications
Quality Inspection: Detect defects faster and more accurately than humans.
Inventory Management: Camera-based inventory tracking and counting.
Security and Safety: Detect intrusions, unsafe conditions, anomalies.
Document Processing: Read and understand documents, forms, IDs.
Retail Analytics: Track customer behavior, optimize store layouts.
Technology Options
Pre-built APIs: Cloud services for common tasks (object detection, OCR, face detection).
Fine-tuned Models: Adapt pre-trained models to your specific needs.
Custom Models: Train from scratch for unique applications.
Implementation Considerations
Camera quality: Input quality determines output quality.
Lighting: Consistent lighting improves accuracy.
Edge vs cloud: Process locally or in the cloud?
Privacy: Video data is sensitive.
ROI Assessment
Computer vision ROI typically comes from:
- Labor cost reduction
- Defect/loss prevention
- Safety incident reduction
- Process speed improvement
Getting Started
Start with off-the-shelf APIs for proof of concept. Move to custom solutions only when needed for accuracy or volume.