Computer vision and image AI
Image classification, object detection, and visual inspection for quality control, compliance, and automation.
AI can see and interpret images at scale - from quality inspection on production lines to document classification and visual search. Computer vision handles tasks that used to require human eyes: spotting defects, counting objects, reading labels, or matching products to images.
I build vision systems that fit your workflow. For manufacturers, that might mean defect detection on finished goods or visual verification of assembly. For retailers, it's visual search or automated product tagging. For logistics, it's package inspection or warehouse automation. The models are proven; the work is integrating them into your processes and handling edge cases.
Example AI integrations
AI services and tools I've integrated for businesses include:
Roboflow
Computer vision platform for custom object detection and classification. For computer vision, it trains custom models for defect detection and quality inspection.
Clarifai
AI vision API for image and video recognition. For computer vision, it provides pre-built models for image and video analysis.
Google Cloud Vision
Image analysis and object detection API. For computer vision, it detects objects, labels, and text in images.
AWS Rekognition
Image and video analysis for object and scene detection. For computer vision, it analyses images and video for objects and scenes.
Replicate
Run open-source vision models via API. For computer vision, it runs open-source vision models without managing infra.
Hugging Face
Pre-trained vision models for classification and detection. For computer vision, it provides pre-trained models for classification and detection.
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Types of businesses I work with
- Healthcare and life sciences - Clinical documentation, medical records, research automation, and compliance for healthcare providers.
- Manufacturing and engineering - Process documentation, quality checks, supplier comms, and internal knowledge bases. Often starting with one high-friction workflow.
- B2B SaaS and tech companies - Adding AI features to existing products, building internal tools, or prototyping new ideas with a clear path to production.
Frequently asked questions
- AI can handle the bulk of routine visual inspections - spotting defects, verifying assembly, and checking labels at speed. It works best as a first pass that flags issues for human review, reducing the volume of manual checks rather than eliminating them entirely.
- A standard industrial camera and adequate lighting are usually sufficient. I work with your existing setup where possible and recommend upgrades only when image quality would otherwise limit accuracy. The AI runs on standard compute hardware.
- A custom model for a specific inspection task typically takes two to four weeks, including data collection, labelling, training, and testing. Simpler tasks like counting objects or reading labels can often use pre-trained models with minimal customisation.
- Often yes. If your existing cameras produce sufficiently clear images, the AI can process their feeds. I assess your current setup and recommend whether existing hardware will work or if specific cameras are needed for the task.
Can AI visual inspection replace manual quality checks?
What equipment do I need for computer vision on a production line?
How long does it take to train a custom vision model?
Can computer vision work with existing CCTV or camera systems?
Want to discuss AI for your business?
I help businesses integrate AI into their workflows. Get in touch to talk through your specific situation.