Hard hat and high-visibility vest
Evaluated in real time within the configured camera region.
COLT AI · OCCUPATIONAL HEALTH & SAFETY
Occupational Health & Safety
Turn PPE, dangerous-area and pedestrian–forklift risks into events.
OPERATIONAL PROBLEM
Changing site conditions make continuous visibility into PPE and safe-route rules difficult.
COLT AI APPROACH
Camera zones, pedestrian paths and equipment risk areas are evaluated with separate rules, then routed to the relevant team.
What Does Colt AI Detect?
Dangerous-area entry
Evaluated in real time within the configured camera region.
Pedestrian-path compliance
Evaluated in real time within the configured camera region.
Forklift–pedestrian risk
Evaluated in real time within the configured camera region.
Unsafe posture and behavior
Evaluated in real time within the configured camera region.
COLT AI · PPE / OHS
Explore OHS Scenarios
Four camera perspectives show PPE compliance, pedestrian-path use and forklift–human risk in realistic site contexts.
Multiple PPE alerts
Individual tracking across a busy production floor with confirmed missing hard-hat and high-visibility-vest conditions turned into events.
01 / 04
Safe PPE compliance
Hard-hat and vest violation
Driver-alert suppression
Walkway-zone distinction
From Rule to Event Record
01Camera zone
02Detection & tracking
03Rule evaluation
04Time-stamped event
05Team notification
ACTION & MANAGEMENT
Event, evidence and notification in one flow
Camera and region rules are managed in the web dashboard. Events are recorded with camera, region, time, type and visual evidence. Notification behavior is configured by team and role.
DEPLOYMENT ARCHITECTURE
Configured for your site.
Camera count, network topology, latency needs and organizational data policies are assessed together. Colt AI is not a cloud-only solution.
On-Premise
- Processing location
- On the organization’s physical server infrastructure
- Suitable scenario
- Centralized camera topologies and strict data policies
- Data approach
- Video and event data can remain within organizational boundaries
Edge
- Processing location
- On processing units close to the site or camera groups
- Suitable scenario
- Distributed sites and local decision requirements
- Data approach
- Enables raw video to be processed on site
Hybrid
- Processing location
- Across edge processing and a central management layer
- Suitable scenario
- Multi-site and mixed network architectures
- Data approach
- Data flows are separated according to organizational policy
The required processing infrastructure is designed around active cameras, enabled AI modules and site requirements.
FAQ
Frequently Asked Questions
Essential questions about camera compatibility, configuration and project architecture.
01How are notifications delivered?+
Web, mobile and email channels can be used according to configuration.
02Can hard hats and high-visibility vests be monitored with separate rules?+
Yes. PPE types, camera regions and event conditions can be configured separately for the project scenario.
03Does it generate pedestrian alerts for a forklift driver?+
Driver and pedestrian scenarios can use separate rules, with alert logic configured around vehicles, walkways and risk zones.
04Can movement outside pedestrian paths be detected?+
Route compliance can be evaluated using safe paths and outside zones configured within the camera view.
05Can safety events be reported retrospectively?+
Time-stamped events can be reviewed and included in reports using camera, region, event-type and time filters.