ai video analytics

AI for Equipment Monitoring

acty.dev sets up camera-based AI for equipment monitoring on the plant floor, watching agreed equipment states such as running versus stopped, an indicator light, or a guard position, delivered as a state-change feed with flagged changes routed to a person rather than acted on automatically.

AI equipment monitoring visual with an industrial machine watched by a camera and a floating cluster of machine-state status lights

AI equipment monitoring turns camera footage into a live state-change feed for the equipment that matters on your floor: running versus stopped, an indicator light, or a guard position, logged and flagged as it happens rather than noticed on a walkthrough. Every deployment starts as a pilot on your own equipment footage or existing CCTV, scored against thresholds you agree to in advance, so you see how the detection holds up before any wider rollout. Flagged state changes are routed to a person for review, not acted on automatically.

The problem we solve

Machine and equipment status is easy to miss when nobody is standing at that spot on the floor: a stopped line, an open guard, or a status light left in the wrong state can go unnoticed until someone happens to walk past, with no record of when the state actually changed.

How we work

  1. Pilot scoping.We agree on the equipment and states to watch, such as running versus stopped, an indicator light, or a guard position, plus the control sample, the allowed miss and false-positive rates, and the target detection latency, before any build starts.
  2. Pilot on your footage.We run state detection against your own equipment footage or existing CCTV, in a cloud or on-premises setup, and validate flagged state changes against the agreed control sample.
  3. Integration.Confirmed state changes are connected into your own systems: a reviewable feed, dashboard, or notification channel, in the format your team already uses, with the integration confirmed before rollout.
  4. Rollout and support.We move from a confirmed pilot to full coverage across the agreed equipment, with placement and configuration notes for your own team or installer, documentation, and ongoing support or tuning as equipment or states change.

What you bring / what you get

Inputs

  • Sample equipment footage or existing CCTV access for the pilot
  • The equipment and states you want watched
  • How your team currently notices and reacts to a state change

Outputs

  • A piloted equipment monitoring setup with agreed acceptance thresholds
  • A state-change feed or log for the watched equipment
  • A review path for flagged state changes

Definition of done.An equipment monitoring pilot validated against an agreed equipment-state set, control sample, and allowed miss and false-positive rates, with confirmed state changes logged into a reviewable feed and integrated into your own systems, documented and integration-confirmed for full rollout.

Fit and anti-fit

Good fit

  • Manufacturing sites with equipment status nobody is watching in real time
  • Buyers who need implementation and delivery, not just advice

Not a fit

  • Requests for a fixed detection-accuracy guarantee
  • Micro-budgets with no defined scope

Questions

What does AI equipment monitoring include?
A piloted, camera-based watching of machine or equipment state on the floor, validated against an agreed control sample and acceptance thresholds, then delivered as a state-change feed or log with flagged changes routed to a person for review.
How does the pilot work?
We agree on the equipment states to watch, a control sample, and allowed miss and false-positive rates, then run detection on your own equipment footage or existing CCTV, in a cloud or on-premises setup, before confirming the integration and notification format ahead of any full rollout.
What kind of equipment states can this watch for?
Visible states such as running versus stopped, an indicator light, or a guard or door position. The exact states are agreed during the task review against what your cameras can actually see.
What is out of scope?
We do not guarantee a fixed detection-accuracy rate or promise automatic corrective action, and we do not commit to a specific camera or hardware brand, or to on-site installation, before reviewing your setup. Flagged states are routed to a person, not acted on by the system itself.
What do you need from us to start?
Sample equipment footage or existing CCTV access for the pilot, the equipment and states you want watched, and how your team currently notices and reacts to a state change.
How is this priced?
Small scoped tasks can start from a few hundred dollars. Larger multi-camera coverage and ongoing retainers are scoped after a task review.
How is this different from a sensor-based monitoring setup?
This is camera-based: it watches equipment visually rather than reading data from a sensor system. If you already have sensor data, we cover that during the task review to see which approach actually fits.

Pricing.Small scoped tasks can start from a few hundred dollars. Larger multi-camera coverage and ongoing retainers are scoped after a task review. (Scoped after a task review.)

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