Machine guarding violation detection from a photo
Machine guarding violation detection means spotting exposed moving parts in a photo of your equipment: missing or removed guards on saws and grinders, unguarded belts, pulleys, and rotating shafts, open pinch points on conveyors, and workers positioned close to exposed mechanisms. Upload an image and OSHA Scan's AI flags each visible exposure, references the OSHA machine guarding standard it may relate to, and suggests a fix. It reports what is visible in the frame — it cannot verify interlock function or guard specifications — so it is an AI-assisted preliminary review, not a formal machine safety assessment.
- Point of operation guarded
- Belts, pulleys, and chains enclosed
- Rotating shafts and couplings covered
- Grinder rests and guards adjusted
What counts as a machine guarding violation?
Generally, any point of operation, in-running nip point, rotating part, or flying-debris source that a worker can reach without a guard or protective device — the core requirement of 29 CFR 1910.212. The scan flags exposures that are visible in the photo; whether a specific guard meets the specification for that machine still needs a qualified review.
Can the AI tell if an interlock or light curtain works?
No. Functional safeguards need hands-on testing — an interlocked guard that looks closed can still be bypassed or broken. The scan is strongest on physically missing or open guarding, and it lists device testing under what to verify manually.
Does this help with amputation prevention programs?
It adds a fast, repeatable visual sweep to your existing program — useful after maintenance, on new equipment, and for documenting conditions. It is an AI-assisted preliminary check, not a substitute for the machine risk assessments and lockout/tagout procedures those programs require.