Manufacturing
Manufacturing AI Solutions
Your plant already has cameras on every bay. NGSPURS turns that footage into a continuous read on safety, process compliance and unplanned downtime — so the first person to know about a problem is the supervisor on the floor, not the auditor next month.
- Works with existing CCTV
- Edge or on-prem
- Sub-second alerts
- Shift-wise audit trail
Typical outcome
Live0%
fewer repeat violations by the second quarter of deployment
- detection models ready on day one
- 0+detection models ready on day one
- median time from event to alert
- 0msmedian time from event to alert
- covered without adding headcount
- 0 shiftscovered without adding headcount
What your current process cannot see
Cameras are everywhere. Attention is not. Every hour nobody is watching is an hour your risk goes unrecorded.
An audit is a snapshot, not a signal
A safety walk covers a fraction of the floor for a fraction of the shift. Everything that happens in between is invisible to the record.
Compliance decays after the walk-through
Helmets come off, guards get bypassed and shortcuts return once the clipboard leaves the bay. The behaviour you measured is not the behaviour you have.
Downtime is explained only after it is paid for
By the time a stoppage is traced to a cause, the shift is over, the line has moved on and the evidence is gone.
Near-misses never reach the report
Nobody files paperwork for the forklift that stopped in time. So the pattern that predicts the real injury never appears in your data.
Let the cameras watch what people cannot.
Same cameras. Different outcome.
The infrastructure does not change. What changes is whether anything is watching it, and whether what it sees reaches the person who can act.
- One supervisor watching a wall of six or more screens
- PPE compliance sampled on a paper checklist
- Stoppage root cause reconstructed days later
- Near-misses depend on someone choosing to report them
- Safety numbers live in a spreadsheet nobody trusts
- Every camera watched continuously, every shift
- PPE and zone compliance scored automatically per bay
- Stoppage flagged with the clip attached, same shift
- Near-misses captured whether or not anyone files them
- One dashboard across every line and every plant
Built for manufacturing conditions
Detection models tuned for a plant floor — bright light, dust, motion and partial occlusion — not a lab.
PPE and helmet compliance
Helmet, vest, glove, goggle and mask checks scored per person, per zone, with the clip attached to every exception.
Machine guard and restricted zones
Virtual boundaries around presses, robot cells and guarded openings. Entry during a live cycle raises an alert and can trigger a stop.
Forklift and pedestrian conflict
Track vehicle and foot traffic through shared aisles and flag the crossings that keep repeating at the same junction.
Line stoppage and idle time
Detect when a station goes quiet, how long for and what preceded it — so downtime arrives with its own context.
Fire, smoke and spark detection
Early warning on flame, smoke and abnormal heat signatures in welding, painting and storage areas.
Housekeeping and spill detection
Blocked walkways, obstructed exits, fallen stock and floor spills flagged before they become the incident report.
Detect. Understand. Act.
An alert on its own is noise. The value is in what happens between the event and the fix — and that is the part most systems leave to you.
01 — Detect
A helmet comes off in the press shop
14:06, Bay 4. An operator lifts his helmet to wipe his face and keeps it off for three minutes while the press is live. The event is logged the moment it happens, with the clip, the zone and the shift attached. Nobody had to be standing there.
Event stream
LiveHelmet not detected
Press shop — Bay 4
02 — Understand
It is the eleventh time this month, all after 14:00
The events cluster in the same bay in the same two hours of the afternoon shift, on the two hottest days of the week. That is not a discipline problem. It is a ventilation problem wearing a discipline costume.
03 — Act
Two controls, live before the next shift
A spot cooler in Bay 4 and a rotation change for the 14:00 window, both drafted from the pattern and assigned to the shift lead. The compliance curve is back above target inside a week, and the plant has the evidence to prove it.
One deployment, three different jobs
The same data, presented for the decision each role actually has to make. Nobody should have to read a safety dashboard to find a maintenance answer.
What we deploy in manufacturing
The questions we actually get asked
What manufacturing teams want to know before they commit to a pilot.
Together, let’s shape
The future of operational AI
Products that see the floor, move the field, and brief the board.
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