Part Identifier recognises an unknown machinery or vehicle part from a single photograph. Image recognition matches it against a parts database and returns the name and part number, specifications, compatible equipment, manufacturer details, and where to buy it — in seconds, from a phone, in the field.
Wherever an unmarked, worn or obsolete component stops work, Part Identifier gets you a name.
Point a camera at the part. Everything below comes back from that one image.
Take or upload a picture of the unknown component. The system reads contours, labels, surface markings and design features, and compares them against a database of known parts — no part number, no catalogue, no forum thread required.
Matching is driven by machine learning rather than text search, so a part still resolves when it is worn, scratched, greasy, or missing its label entirely — the condition most parts are actually in when somebody needs to identify them.
A match returns the part name and number, dimensions and specifications, the systems or equipment it is compatible with, and manufacturer details — enough to order with confidence rather than to guess.
Where an exact match is discontinued or slow to source, the result set includes related alternatives and upgrade paths, so a retired component does not become a stalled repair.
Results carry availability and pricing alongside the identification, closing the gap between working out what a part is and actually getting one on order.
Part Identifier runs as a web app and a mobile app, because identification happens at the machine — on a workshop floor, under a bonnet, or at a plant — not back at a desk.
Part Identifier is developed by FoogleTech Software in Surat, India. It grew out of the visual search and image recognition work we do for clients — the same discipline behind our AI/ML and embedded vision projects — applied to a problem our own engineers kept hitting: an unmarked component, and no fast way to find out what it is.
It launched as a web app and a mobile app, and it is aimed squarely at the moment of use: somebody holding a part, needing a name, a specification and a source, without a catalogue or a part number to start from.
AI-Powered Visual Part Recognition
Identifying a component the old way means trawling catalogues, comparing photographs on forums, or describing a shape to a supplier over the phone. It takes hours, it depends on somebody else recognising it, and it frequently ends in the wrong part being ordered.
The cost is not the part. It is the machine standing idle while the right one is worked out, ordered, and delivered — twice, if the first guess was wrong. Part Identifier removes the guesswork from the first step so the rest of the job can proceed.
Take a photo of the unknown part with a phone, or upload an existing image from the web app.
The system reads the image for contours, labels, surface markings and design features that distinguish one component from another.
Those features are compared against a database of known parts, and the closest candidates are ranked.
The match returns part name and number, dimensions and specifications, compatible equipment and manufacturer details.
Availability, pricing and related alternatives come back with the identification, so the part can go straight on order.
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