COLT AI · OPERATIONAL PERFORMANCE

Operational Performance

Make video measurable for capacity, utilization and bottleneck visibility.

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OPERATIONAL PROBLEM

Waiting, utilization and area-based work patterns cannot be understood from output data alone.

COLT AI APPROACH

Colt AI makes area use, movement and waiting patterns visible for process improvement and capacity planning.

What Does Colt AI Detect?

01

Presence in assigned areas

Evaluated in real time within the configured camera region.

02

Waiting and inactivity

Evaluated in real time within the configured camera region.

03

Workstation utilization

Evaluated in real time within the configured camera region.

04

Movement and posture

Evaluated in real time within the configured camera region.

05

Shift-based patterns

Evaluated in real time within the configured camera region.

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.

COLT AIDemo View
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Web eventMobile notificationEmail
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.

01

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
02

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
03

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.

01Is this an employee surveillance system?

No. The design focus is process visibility, capacity planning and bottleneck detection.

02Which operational patterns can be evaluated?

Presence in assigned areas, workstation use, waiting, inactivity and movement patterns can be evaluated through configured scenarios.

03Is the analysis person-specific?

The focus is not names or identity, but operational visibility into area, time, workstation and process patterns.

04Can patterns be compared by shift?

Time and shift ranges can be configured to review area-use and waiting patterns across operational periods.

05How can results support capacity planning?

Area use, workstation activity and recurring waiting points provide measurable input for capacity and process-improvement work.

COLT AI

Turn Your Existing Cameras Into an Intelligent Operations Layer.

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