Describe the job in business language
Begin with the condition your team cares about and the person who should review it, rather than an unfamiliar technical specification.
AI monitoring agentsDefine what deserves attentionTell Opsyte what to watch. Give the objective a clear shape.
A useful monitoring agent starts with an operational question. Watch this boundary. Show this queue. Flag a visible condition in this work area. Opsyte brings that objective together with a selected camera, an appropriate template and a configuration your team can review. Block Gemini helps turn the brief into a practical first deployment.
Reuse a useful starting point
Templates cover common objectives such as zone entry, occupancy, counting, PPE observations and dwell. Configuration aligns the choice with the camera view.
Keep the objective open to refinement
Review assumptions, events, metrics and rules so the team can improve a configuration as it learns from the selected scene.
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.
INSIDE OPSYTE
See how the pieces work together.
From a connected camera to an event your team can understand. Explore the decisions and controls behind the experience.
Define what deserves attention
Tell Opsyte what to watch. Give the objective a clear shape.
A useful monitoring agent starts with an operational question. Watch this boundary. Show this queue. Flag a visible condition in this work area. Opsyte brings that objective together with a selected camera, an appropriate template and a configuration your team can review. Block Gemini helps turn the brief into a practical first deployment.
/AI monitoring agentsProduct illustrationSource
Analysis
Evidence
Review
Example monitoring objective
Watch a defined area. Surface a useful event.
A camera, a clear instruction and a rule define what the agent is being asked to observe.
A defined operational question01
Write one useful objective
Describe the camera area, observable condition and reason it matters. An explicit first question is easier to configure and review.
The example explains the setup. No live system is changed.
PUT IT TO WORK
What this means for your team.
“Watch this staff-only boundary.”
Configure zone entry for a selected view, with evidence and a responsible manager attached to the review.
“Show us when the checkout queue grows.”
Select the queue objective, define the area and agree which condition should bring the event to the store team.
“Help HSE review visible PPE conditions.”
Assess the work-zone camera and configure the relevant visual observation with HSE as the reviewer.
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
Review entry into an exclusion zone
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 we create an agent with a plain-language brief?
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The workflow starts with a written objective and a proposed configuration. Our team helps assess the matching template, camera view and assumptions. The result still needs review and tuning for its actual operating environment.
02What if our objective is outside the template library?
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Bring the scene and the business question. We assess whether configuration can support it or whether a custom agent, integration or camera change needs separate scope.
03What does planner confidence tell us?
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It accompanies the proposed plan and its assumptions. It is not a published accuracy benchmark for real detections. Review representative events and the agreed acceptance criteria with the team.
04Can the same objective run at different locations?
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Yes, with the camera selection and configuration reviewed for each view. A shared objective helps comparisons, while differences in angle, lighting and the operating area still matter.
05Can we review more than just an agent’s latest event?
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The agent workspace brings its events, available metrics, configuration and rules together. That gives the team a way to inspect the observation and the setup behind it.
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.