A machine goes down, and the part number stamped on it is worn off, or the paper catalogue is out of date, or nobody on shift knows the supplier's code by heart. The technician loses time searching instead of fixing. A tool that identifies a part from a photo, matching it against your own spares inventory, turns that search into seconds.
Signs you need this
- Downtime regularly includes time spent identifying a part, not just replacing it.
- Your spares are catalogued inconsistently — different names for the same part across shifts or sites.
- New technicians take a long time to become useful because part knowledge lives in a few senior people's heads.
What a good system does
- Matches a phone photo against your own spares catalogue, not a generic internet database that may not stock what you actually use.
- Shows the top matches with confidence, not a single guess presented as certain.
- Points to where the part sits in your own stores and how many are in stock.
- Improves as your team confirms or corrects matches over time.
What it costs you
The real work is photographing and tagging your own spares inventory once, properly, so the system has something accurate to match against. A plant that skips this step entirely and expects the tool to know an unfamiliar part on day one, with no examples to learn from, will end up disappointed. A plant that spends a week cataloguing its stores gets a tool that keeps paying off for years, especially once new technicians start relying on it from their first shift instead of waiting around for a senior colleague to be free to help them through the identification, shift after shift, week after week, for years on end.
Questions to ask any vendor
- Does it match against our own spares, or only a generic catalogue we do not necessarily stock?
- How confident is a match, and does it show alternatives when unsure?
- Can a technician correct a wrong match, and does the system learn from it?
- Does it work from an ordinary phone photo, or does it need special equipment?
How we can help
Vizhi, our vision model, is built to recognise and match objects against your own records, whether that is a spare part, a defect on a line, or an answer sheet. See how we apply this for factories — AI for industry — or talk to us with photos of your own stores.
