Alumni Digest / uOttawa / Ideas /
Looking inside a vehicle with AI
Sina Negarandeh is working on faster interpretation of X-ray images.
The context
What the reporting shows
The master’s student’s project uses artificial intelligence to analyse images for internal damage. The engineering problem is to make hidden defects easier to identify without relying only on what can be seen at the surface. The university presents an emerging research model, rather than a commercial inspection service.
The stakeholder lens
Who this work touches
Read this source-linked brief through five lenses: the university as source institution; the people and practitioners named in the reporting; the campus or civic setting around the work; the alumni reader who may carry the question forward; and any partner, which is left unassigned unless the source names one. No sponsor or outreach relationship is inferred here.
The takeaway
A question to carry forward
For alumni readers, the useful next step is to follow the original reporting for names, dates and outcomes. This digest adds an editorial frame while keeping the source page as the authority.
Source reporting
Using artificial intelligence to detect internal damage to vehicles in real time
Original summary by Alumni Digest, based on public source reporting. This independent publication is not affiliated with or endorsed by the University of Ottawa. Source image retained for editorial review; rights clearance is still required before broader reuse.
