Typical timeline
4–8 weeks (small PoC) / 8–12 weeks (field data + API launch) / 12+ weeks (multi-site real-time tracking + on-prem).
What you get
Target definition (classes/outputs for product, people, crowd)
Model/approach selection (detect/classify/track)
Data capture & labeling spec (guidelines and splits)
Vision API/SDK for apps and back office
Results console (optional: query/export/feedback)
Field report (accuracy/speed/lighting & angle guidance)
Deployment options (cloud/on-prem/hybrid)
Continuous improvement loop (feedback → next dataset)
Use cases
Product recognition
Capture → recognize → link to product info/inventory/instructions.
Specialized app recognition
Plant recognition + care tips; equipment recognition + usage guides.
How it works
1
Define targets & conditions
- Define outputs
- Assess camera/source conditions
- Set accuracy/speed acceptance
- Choose deployment model
2
Deploy & improve
- Deploy API/SDK
- Establish feedback loop
- Monitor and calibrate
- Expand classes and sites
FAQ
It depends on the field and targets. We recommend representative images and capture rules.
We provide labeling guidelines/specs and can help set up the workflow if needed.
We validate on a predefined test set with agreed metrics (accuracy/recall/speed).
On-prem lowers latency and improves control; cloud scales faster. Choose per constraints.
This plan focuses on products/people/crowd recognition, not OCR.
Tell us your need—we’ll reply with a feasible plan + timeline
Reply in 1–2 business days｜Plan first, then decide