Vehicle, driver and pedestrian
One forklift, its visible driver and one separate pedestrian are present in the review frame.
Opsyte for industrial operations
See the flow of your facility. Surface the moments that need a decision.
Warehouses and factories bring people, vehicles, stock and machinery into shared spaces. Opsyte turns selected camera observations into events and metrics that warehouse, HSE and plant teams can use together. Start with a high-value route or bay, then build a wider operational picture.
Preparing for launch · tailored walkthroughs available
VISION → CONTEXT → ACTIONIndustrial · vehicle approach and separated pedestrianSynthetic LTX footage · manually annotated review frames
Paused00:00.0/ 00:06.0
Vehicle approach zone
Annotated demonstration3 subjects in view
Analysis layers
Vehicle approach zonePedestrian-lane boundary
Clip analytics
KEY MOMENTSSelect a moment to pause and inspect
VehicleVisible in this frame
Time visible in this clip0 sec
The box includes visible forks. It is a screen-space approximation, not a calibrated vehicle footprint.
Visible forklifts
One forklift in each of the 13 frames manually reviewed at half-second intervals.
Positions and counts were manually reviewed every 0.5 seconds from 0 to 6 seconds. Interpolated boxes are approximate visual annotations, not live model inference. Event markers identify a confirming sampled frame, not an exact crossing instant.
THE USE CASE01 / 04
Make shared routes easier to manage.
Observe
Watch a defined vehicle approach zone before the walkway.
- Review area
- Vehicle approach zone · Warehouse
- Team to involve
- Warehouse supervisor
Find the useful moment
Focus a camera on a clear operational question.
Give it context
Review the event, its source and the supporting evidence.
Keep people in control
Help the right team review and respond to what matters.
FROM CAMERA SIGNALS TO BUSINESS QUESTIONS
What could your cameras tell your business?
Turn a view into useful data. Explore model families for people, service, safety, movement and production. Configure the measurements around your operation—and connect them to the questions that matter.
Observe a defined signalA person, an object, a count or a configured condition.
Structure the informationConnect a model’s output to a time, camera and zone.
Investigate a patternCompare periods, inspect the source and plan a response.
MODEL → METRIC → DECISION
Illustrative datasetFootfall & arrivals
See when people arrive and how demand changes through the day.
A configured counting view supplies passage counts. The example compares two separate entrance views.
Illustrative data · change the location or period to recalculate every metric and report.
THE BUSINESS QUESTION
When should we prepare for the busiest arrival periods?
Passage counts in each observation window.
Observed arrivalspeople
Both example sites · 09:00–12:0015-minute intervals
Interval total. Adds interval values for the selected sites and period.
What this can help you understand
Higher bars show busier arrival periods; the total adds the selected windows and separate sites.
A passage count is not a count of unique customers or verified identities. Overlapping views need duplicate handling.FOLLOW THE NUMBER BACK TO ITS SOURCE
2 example observationsInside this interval 09:00–09:15
Entrance camera
Arrival boundary
- Observed arrivals
- 12 people
Entrance camera
Arrival boundary
- Observed arrivals
- 9 people
WHAT THE MODEL CAN COLLECT
Useful data. Clearly defined.
Observation window
The illustrative records use equal 15-minute periods. These are example records, not customer measurements.
Example09:00–09:15 · illustrativeCamera and monitored area
Every measure belongs to a selected camera, location and monitoring area.
ExampleSite A · selected camera and zoneObserved passages
People counted through the configured entrance or counting boundary during the period.
Example18 observed passagesCounting boundary
The defined entrance or line that gives the count its meaning.
ExampleMain entranceStart with the question you need answered.
Discuss these analyticsWe map the camera, model, collection fields and report to that decision—and validate what works in your environment.
THE USE-CASE LIBRARY
What would you like to see sooner?
Explore specific operational jobs—not just a list of AI features. Each example explains the condition, useful evidence and the team’s next step.
IndustryIndustrial & logistics
10 examples
Industrial & logistics
Configured use-case exampleWatch vehicle entry into a pedestrian route
The operational need
Make a shared-route concern visible to the warehouse team.
The camera view matters
Warehouse aisle and walkway
- 01
The condition to look for
A forklift or vehicle enters the configured walkway zone.
- 02
Evidence to review
The marked route, camera, time and selected event snapshot.
- 03
A useful next step
The supervisor reviews the event and coordinates route use with the team.
Illustrative configuration, not a recorded customer outcome. Camera suitability, analysis scope and the response workflow are agreed during setup.
FROM ATTENTION TO A DECISION
An alert is the beginning. Context is what helps.
Bring the source, visible condition and supporting evidence into one conversation with the team responsible. Explore a local review example.
A boundary becomes a useful alert.
Person entered the configured zone
Evidence to consider
Camera, event time and a selected scene snapshot
- Location context
- Exclusion zone · Site works
- Responsible team
- Site supervisor
A PRACTICAL FIRST STEP
Start with one site. Make the workflow useful.
You bring the operational question. Together, we define the camera coverage, the analysis and what your team should do with the result.
0 / 4preparation items you marked ready
A local planning aid, not a readiness score or a submitted request.Your starting point
Watch vehicle entry into a pedestrian route
The next page opens an editable inquiry with your selected industry and scenario. No camera credentials or footage are needed here.
Discuss this pilotBEFORE YOU CONNECT
Clear answers. A better starting point.
Understand the practical details before you plan your first deployment.
01Can it monitor forklift and pedestrian routes?
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We can scope monitoring around visible route boundaries and relevant vehicle or person conditions. Camera position, occlusion and the chosen objective are assessed during setup; a demonstration does not establish calibrated distance measurement.
02Does it replace machine sensors or safety interlocks?
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Opsyte adds camera-based observations and reviewable evidence. Machine telemetry, control systems and safety interlocks remain separate. Connections to external alarms or systems are assessed as an integration scope.
03Can several facilities use the same workspace?
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The platform organizes cameras, agents and events by location. We configure the relevant views and access around your operational footprint, then confirm the plan and camera allocation for the deployment.
04What should we use for a first pilot?
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Choose a clearly visible, frequently relevant condition with a named owner: a walkway boundary, loading-bay dwell or restricted-area entry. A specific objective makes tuning and review much more useful.
Let’s find the moments that matter to your business.
Tell us what your team needs to see, understand or improve. We will help shape the right walkthrough and pilot scope.