Add Innovations’ machine vision system uses deep learning based architecture to inspect the quality of small parts like connectors, washers etc for surface defects such as cracks, chips, blemishes, and discoloration. It counts the specimens and sorts them into “OK” and “No-Good” bins. The system works on a deep learning based algorithm, so it can be trained for different specimens, and used in a wide range of products irrespective of material.
| How it works: | Feeder and conveyor orients specimens and runs them at high speed along the camera line of sight. Images captured by camera are processed in real time (within micro-seconds), and samples sorted into "OK" and "no-good" bins using a pneumatic set-up. Deep Learning algorithm can be trained using OK and no good specimens for different shapes, models, and base materials. Once trained, the system is on "auto-pilot" and does not require further calibration or changes. |
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| What's included | Industrial Cameras, lenses, sensors, conveyor, feeder, PC, powder coated metal housing, and proprietary software by Add Innovations. |
| Indicative Price | Call for price +91 83758 20921 |
NCR-based technology company with services and products in computer vision, machine vision, and vision inspection systems.
DIPP registered under #startupindia