THE SOLUTION
Computer vision on the cameras you already have.
What Zero Forg does
We deliver counts you can act on and flags you can trust — the moment they happen, not at the next cycle count or the next site review.
See every unit on the floor
Count glass panels, steel sheets, profiles, cartons, cement bags and timber from the frame — live, by type, stacked vs. in-use. No scan, no manual count.
Read machine and equipment status
Detect machines, tools, forklifts, excavators and cranes, and read whether each is running, idle, stopped, or stable — so downtime is visible the minute it starts.
Watch the people, not just the perimeter
Headcount and per-zone occupancy in real time, proximity and crowding flags, lone-worker detection, and PPE compliance — helmet and vest — checked on every worker in frame.
Track progress as it happens
On site, classify active brickwork, finalized zones, and structural steel in use, with confidence scoring — so "on schedule" is something you can see, not something you're told.
Write it into the systems you run
Counts and statuses flow into your ERP and WMS, and onto a digital-twin dashboard, so the system finally reflects what's actually on the floor.
Zero new hardware
Existing CCTV, existing network. Our edge layer connects to the cameras already in the building. Nothing to rip out, nothing to re-wire.
Featured Case Studies
See how we deploy real-time computer vision at the edge for leading companies and physical operations.
Groz Tools
The Challenge
Tracking machine utilization and operational downtime across large tool fabrication bays without intrusive physical sensors.
The Solution
Deployed Zero Forg edge vision models on existing overhead security cameras to track machine activity and detect active, idle, and stopped states.
Key Outcome
Boosted Overall Equipment Effectiveness (OEE) by 18% and provided instant alerts for layout delays.
"Zero Forg turned our regular surveillance cameras into a live record of our machine uptime and floor layout efficiency."
Edge-First Architecture
Processing happens at the edge — inside your facility, on your network. Detection runs in milliseconds, the line keeps moving if the internet drops, and your footage never leaves the site. Your factory's video stays in your factory.
From Detection to Decision
We start by reading one camera and returning clean, live data. As more cameras come online, the record gets denser — every zone, every machine, every material, every worker — until the building has a real-time reflection of itself instead of an archive you check after the loss.