Operations and queues in retail
Time spent in-store, entries, peak periods, and overloaded zones.
Computer vision technology
SightOps Video Intelligence
Computer vision for operations that already have cameras, but don't yet use the information from them for decisions.
Promise to the customer
Cameras turn from passive recording into a live operational signal: queues, occupancy, safety, movement, and alerts.
Ready for a pilot
It starts with a small scenario that can be explained, measured, and decided on based on the result.
Where it fits
Retail and boutiques
Cafés and quick service
Manufacturing and warehouses
Multi-location operations
What the customer gets
queue and wait-time measurement
zone occupancy detection
safety rules and alerts
central dashboard across locations
Interactive engine map
How the video intelligence engine works
SightOps turns video into events, metrics, and alerts a manager can act on directly.
Camera
RTSP / IP camera / operational feed
We connect to existing cameras or a test feed without disrupting operations.
Examples and presentation
What it looks like in practice
Manufacturing and safety
Monitoring zones, machines, people's movement, and safety rules.
Central oversight of operations
One place for overview, rules, and alerts across all locations.
Model case
Model case: operational queues
A location has peak periods, but the manager lacks precise data on when queues form and how quickly staff respond.
1
Connecting 2-4 cameras
2
Defining zones and queues
3
Measuring wait time and alerts
4
Dashboard for daily review
Expected business impact
The goal is to reduce wait time, plan shifts precisely, and catch overload before it shows up in revenue or reviews.
Fit simulator
How big should the first step be?
The customer doesn't need to understand the architecture. It's enough to describe the scope, number of locations, and data readiness. The recommendation shows whether an audit, a pilot, or a broader system fits best.
Implementation
How to start without unnecessary risk
SightOps Pilot
2-4 weeks
One location, a few cameras, a measurable scenario, and ROI evaluation.
Multi-site rollout
6-12 weeks
Central dashboard, rules for multiple locations, and reporting.
Custom vision system
custom
Custom models, on-premise/hybrid operation, SLA, and integrations.
Where in your business would AI investment pay off the fastest?
Start with a short AI Opportunity Sprint. Together we'll identify the processes that make the most sense to automate first.