Safety and PPE compliance
Missing protective equipment, restricted-zone entry and unsafe proximity, alerted in the moment.
Ready AI Products
SmartVision Analytic
AI video analytics for security & real-time monitoring.
The problem
A control room with two hundred cameras and three operators is not monitoring two hundred cameras. Footage is reviewed after something has happened, which makes it evidence rather than prevention, and the events that were visible at the time went unseen because nobody can watch that many screens. The cameras are not the limitation — attention is.
Who this is for
- Security and control-room operationsAttention directed to the feed that matters, at the time it matters
- Industrial HSE and site managersSafety breaches seen as they happen, not in the incident report
- Facilities and retail operationsOccupancy, queues and access understood without a person watching
What people use it for
Perimeter and intrusion
Movement in an area that should be empty, at a time it should be empty, with the clip attached.
Occupancy, queues and flow
Counting and dwell time for capacity, staffing and layout decisions, without identifying anyone.
Searchable video
Finding the four minutes that matter in a week of footage, by object, event and time rather than by scrubbing.
What it needs to work
- Existing camera feeds, through your VMS or directly by stream
- The events you want detected, defined specifically enough to be tested
- Camera positions and angles — these decide what is possible more than the model does
- Your privacy position and lawful basis, settled before deployment
How it works
-
Ingest the stream
From your VMS or camera directly, processed at the edge or centrally depending on bandwidth and policy.
-
Detect and track
Objects and people detected per frame and tracked across frames, which is what turns a detection into an event.
-
Apply the rule
Zone, direction, duration and combination — most useful alerts are a rule over detections, not a detection alone.
-
Alert with the clip
The operator gets the few seconds that triggered it. An alert without footage just moves the searching.
-
Index for search
Detections stored as metadata so past footage becomes searchable by what was in it, not only by time.
-
Tune against false alerts
Operator dismissals feed back. An alert stream people learn to ignore is worse than none.
How we deliver it
-
Site and camera assessment
What each camera can actually support. Some requested detections are not possible from the current angle, and we say which.
-
Privacy and approval
What is processed and retained, on what basis, agreed before a single feed is connected.
-
Pilot on a few feeds
Tuned in place, with false-alert rate measured under your real conditions including night and weather.
-
Roll out and integrate
Further feeds, integrated into the control room so alerts arrive where operators already work.
Where it runs
- Edge processing at the camera or site, where footage should not be transported
- On-premises server, integrated with your existing VMS
- Private cloud where footage may leave the site and bandwidth allows
Security and governance
- Detection without identification by default; facial recognition is a separate decision with a separate legal basis
- Edge processing keeps footage local where that is the requirement
- Clip retention set per rule, and kept only where an event justifies it
- Detection performance reported by condition — night, rain and glare, where these systems degrade
Timeline
A few feeds with well-defined events move quickly. What sets the schedule is camera coverage and tuning: getting the false-alert rate low enough that operators trust the stream takes time in the real environment, and it cannot be shortened by working from sample footage taken on a clear day.
What you receive
- Configured detections and rules per camera, tuned on site
- Alerting integrated into your control room with clips attached
- Searchable video metadata over the retained period
- Measured performance by camera and by condition, including at night
- A privacy and retention configuration documented per site
Related work
Published projects where we did this.
What this does not do
The camera sets the ceiling. A detection that needs to see a face badge at thirty metres will not work from a wide-angle mount, whatever the model — and the honest recommendation is then to move the camera, not to tune the software. Performance degrades measurably at night, in rain and against glare, and we report it that way. We do not deploy facial recognition as part of general video analytics; that is a distinct capability with distinct governance and it should be decided on its own terms.
Questions we are asked
Will it work with our existing cameras and VMS?
Usually, and the site assessment establishes it per camera rather than in general. Where an angle or resolution cannot support a requested detection, we say so instead of deploying something that will produce unreliable alerts.
Does it identify people?
Not by default, and detection, counting and safety rules do not require it. Facial recognition is a separate product decision with its own legal basis, and it should be taken deliberately rather than acquired as a side effect.
About the figures on this page
This page describes capability and method. It does not publish accuracy figures, throughput numbers or delivery dates, because those depend on your data, your systems and your scope — and a number published here would be wrong for most readers. You get them, in writing and against your own data, at scoping.
A first call is a technical conversation, not a pitch: what you have, what you need, and whether this is the right approach at all.
Key capabilities
- Security
- Operations
Built on the Unified Intelligence Layer
Every InsAI product runs on the same four-stage backbone.
- 1
Data Integration
ERP · IoT · BIM · CRM
- 2
AI Models & Predictive Engines
Forecasting, detection, optimization
- 3
Automation & AI Agents
Acting on predictions, end to end
- 4
Real-time Dashboards & Decision Systems
From the floor to the boardroom
SmartVision Analytic
AI video analytics for security & real-time monitoring.