All use cases
Manufacturing, automotive & agriculture
Cameras that catch defects and keep people safe.
Line cameras spot defects and signal a reject; CCTV flags PPE and restricted-zone breaches; a farmer's crop photo on WhatsApp becomes advice in Hindi. Factory IP and line video never leave the plant.
How it works
Visual quality inspection on the line
- 01Line cameraEvery part photographed as it passes.
- 02Defect detectionVision AI and object detection find the fault.
- 03ChecksPython rules turn detections into a pass or fail.
- 04Reject signalThe faulty part is pulled from the line.
- 05Shift reportA PDF report by email or SMS at the end of the shift.
Capabilities
What Computer Vision does
- 01Defect detectionObject detection and image analysis tuned to your parts and your faults.
- 02Safety monitoringPPE and restricted-zone detection on CCTV, with a supervisor alert and an incident log.
- 03Crop advice from a photoAsks for a clearer photo first, then a vision model plus KVK advisories answer in Hindi.
- 04Video analysisFrames from line or CCTV video, analysed as a flow step.
- 05Logged to your systemsIncidents and results written to Sheets or Postgres.
- 06On-premiseRuns inside the plant, so line video and factory IP stay there.
Blocks used
- Vision AI
- Object detection
- Video analysis
- Python checks
- PDF report
- SMS
- WhatsApp alert
- Sheets / Postgres
In practice
Where it is used
- ManufacturingVisual quality inspection and safety monitoring on the shop floor.
- AutomotiveAssembly-line inspection with a daily line report.
- Kisan MitraFarm advice from a crop photo; low-confidence cases go to an agronomist.
Accountable by design
Built to be trusted
- Data stays in the plantFactory IP and line video never leave the premises.
- Humans on the hard casesLow-confidence answers go to a person, not to the customer.
- Every incident loggedAlerts, decisions and reports kept as one audit trail.