OperaLens
Camera-to-data platform

Computer Vision for Physical Operations & Real-World Environments

Turn existing cameras into structured operational intelligence.

Understand people, vehicles, objects, movement, queues, zones, and physical processes automatically—and transform video into measurable operational data.

Explore Use Cases Request a Pilot

Start with one camera, one physical process, and one measurable problem.

The physical data gap

Video shows what happened. Data makes it usable.

We convert movement inside real environments into structured events that teams can measure, compare, search, and act on.

01

Operations stay invisible

Camera feeds contain useful activity, but operators cannot continuously watch every stream.

Create · Searchable event history
02

Waiting goes unmeasured

Queues, vehicle delays, and unattended zones often remain anecdotal until they affect service.

Measure · Wait and dwell time
03

Process time is unknown

Physical workflows lack timestamps, making recurring slowdowns difficult to locate and compare.

Measure · Cycle time and flow
04

Exceptions arrive too late

Congestion, wrong-way movement, blocked areas, and missed process steps need timely attention.

Surface · Configurable events

How it works

From an existing camera to an operational signal.

Detection is one part of the system. The useful result comes from combining tracking, spatial rules, event logic, and historical data.

Cameras
Detect & track
Context
Events
Data
Insights
01

Existing cameras

Connect compatible IP cameras, CCTV streams, or a dedicated camera for the selected view.

02

Detection & tracking

Detect and temporarily track relevant people, vehicles, products, equipment, or other objects.

03

Spatial context

Understand location, movement, direction, trajectories, and interaction with configured zones.

04

Operational events

Convert activity into events such as entering, waiting, crossing, stopping, or missing a process step.

05

Structured data

Generate timestamps, counts, dwell time, occupancy, process duration, and event history.

06

Operational intelligence

Use dashboards, alerts, and AI-assisted analysis to identify delays, risks, and recurring patterns.

What we measure

Turn activity into measurable operational data.

Capabilities are configured around the camera view, environment, and operational question. Status indicates how each category is currently delivered.

Available now

People & occupancy

Understand how people enter, leave, gather, and use a physical environment.

  • People counting
  • Entry and exit
  • Occupancy
  • Visitor traffic
  • Crowd density
Available now

Zones & dwell time

Measure presence, waiting, and utilization inside configured areas.

  • Time inside a zone
  • Waiting time
  • Unattended zones
  • Restricted zones
  • Zone utilization
Available now

Queues & flow

See where movement slows, lines form, and congestion repeats.

  • Queue length
  • Waiting duration
  • Congestion
  • Customer flow
  • Pedestrian flow
Pilot configuration

Vehicles & traffic

Turn vehicle movement and parking activity into measurable traffic events.

  • Vehicle counting
  • Classification
  • Direction
  • Dwell time
  • Parking occupancy
Pilot configuration

Objects & assets

Follow products, packages, pallets, equipment, and containers through visible workflows.

  • Object movement
  • Asset presence
  • Zone transitions
  • Unexpected movement
  • Visible inventory flow
Pilot configuration

Process monitoring

Measure visible process stages, cycle time, throughput, and missing steps.

  • Process steps
  • Cycle time
  • Delays
  • Workflow state
  • Throughput
Pilot configuration

Safety & security events

Surface configurable events for operator attention and human review.

  • Restricted-zone entry
  • After-hours activity
  • Blocked entrances
  • Unusual dwell
  • Wrong-way movement
Custom development

Operational exceptions

Flag conditions that fall outside a configured threshold or normal pattern.

  • Excessive wait
  • Missing coverage
  • Process delay
  • Unusual inactivity
  • Congestion threshold

Reusable by design

One Computer Vision Core. Many Physical Environments.

The same foundation—detection, tracking, zones, trajectories, dwell time, line crossing, and event logic—can be configured around different operational rules.

Detection Tracking Zones Dwell time
RestaurantService station unattended
RetailCheckout queue exceeds threshold
WarehousePallet remains in loading zone
ManufacturingProcess station missing an operator
LogisticsVehicle wait exceeds baseline

Industries

A platform configured for the environment.

Start with a physical process and the camera view that can observe it. Business rules change; the core platform remains the same.

Available now

Restaurants & Bars

Transform existing restaurant cameras into operational data about customer flow, queues, service zones, and visible physical workflows.

Explore use cases Available now

Retail

Measure store traffic, checkout queues, zone engagement, fitting-room demand, and staff coverage using existing camera views.

Explore use cases Pilot configuration

Warehouses

Understand pallet movement, loading-zone activity, vehicle flow, process timing, and configurable safety events.

Explore use cases Pilot configuration

Manufacturing

Convert visible production activity into process timing, stage verification, throughput, and safety-zone events.

Explore use cases Pilot configuration

Logistics

Measure vehicle waiting, loading and unloading duration, dock occupancy, package flow, and throughput.

Explore use cases Pilot configuration

Security & Public Spaces

Transform street, facility, and perimeter cameras into structured events for movement, access, congestion, incidents, and safety conditions.

Explore use cases
View all industries

Illustrative operational events

Give operators the moments that deserve attention.

Event logic turns continuous footage into concise records. Examples below are sample configurations, not live customer data.

Restaurant

Service station unattended

Zone empty · 6m 12s

Human review when required
Retail

Checkout queue exceeds threshold

8 people · 4m 08s

Human review when required
Warehouse

Pallet remains in loading zone

Dock 03 · 22m

Human review when required
Manufacturing

Process station missing an operator

Station B · 3m 40s

Human review when required
Logistics

Vehicle wait exceeds baseline

Gate 02 · 31m

Human review when required
Security

Restricted-zone entry

Perimeter C · review required

Human review when required
Street camera

Vehicle stops unexpectedly

Eastbound lane · 94s

Human review when required
Parking

Occupancy exceeds threshold

Level 2 · 92% occupied

Human review when required

From video to operational intelligence

The product is the operational record—not the detector.

Object detection identifies what is visible. The platform adds tracking, spatial context, event rules, and history so activity becomes useful business data.

Video Context History Metrics
Future AI operations layer

“Queue length exceeded its normal threshold between 12:15 and 13:05 while service-zone coverage was below the historical average.”

AI-assisted interpretation is planned or available through custom development. Managers and operators remain responsible for important decisions.

A focused first deployment

Start With One Camera and One Measurable Problem.

We begin with one physical process and one operational question. The pilot establishes a baseline, measures the result, and tests whether the insight creates practical value.

One locationKeep the first test focused.
One useful viewUse the existing camera first.
One useful questionMeasure a defined outcome.
Pilot scope
  • One business location
  • One camera
  • One measurable problem
  • Configured detection and zones
  • An agreed operational baseline
  • Results review and value assessment
  1. 1Select one location
  2. 2Select one camera
  3. 3Identify one operational problem
  4. 4Configure detection, tracking, and zones
  5. 5Establish a baseline
  6. 6Measure the result
  7. 7Validate business value
  8. 8Expand after value is proven
Operations assessment

Tell us what you want to measure.

We’ll use this information to assess camera fit and suggest a focused first use case.

No sales automation. A person reviews every request.

Privacy by design

Analyze events, not identities.

Raw video does not need to be continuously uploaded. Depending on the deployment, local processing can convert camera footage into anonymous events before operational data leaves the location.

Local or edge processing can keep analysis close to the camera.
Facial recognition is not required.
Temporary anonymous object IDs can support tracking and timing.
Retention settings can be configured for each location.

The system is designed to support privacy-conscious deployments. Selected evidence clips, retention, notice, consent, and human-review requirements should be configured and reviewed for each location.

Read our privacy approach

See what happens. Measure what matters.

What physical process would you like to understand?

Tell us where time, flow, coverage, or visibility is being lost. We’ll help determine whether one camera can establish a useful baseline.

Discuss a Pilot