AI & connected operations
Give the physical world a digital workflow.
Build visual intelligence, inspection and field-system integrations for your operations. Connect observations to evidence, review and the systems your team already uses.
SEE HOW THE TECHNOLOGY WORKS
Make a visible event actionable.
Explore the path from a selected camera view to evidence, review and response.
INTERACTIVE WORKFLOWIllustrative engineering scenario
01 / 03
Observe a defined scene
Choose a suitable camera view, observable event and agreed collection frequency. Establish what the footage can actually show.
Selected camera framesFrames suitable for the agreed analysis
Read the complete workflow
Observe a defined scene
Choose a suitable camera view, observable event and agreed collection frequency. Establish what the footage can actually show.
Selected camera frames → Frames suitable for the agreed analysis
Add analytical context
Apply configured models, zones and event rules. Review detections and thresholds before relying on a metric.
Frames + configured event definitions → A reviewable event and supporting frame
Review and respond
Give the responsible team the evidence, route an agreed follow-up and assess false alerts during the pilot.
Event evidence + response rules → A human-reviewed operational response
Movement, queue and occupancy analytics
Operator review of configured site events
FROM INPUT TO USEFUL OUTPUT
Follow the work. Inspect the result.
Explore a proposed delivery workflow. Each step connects an activity to something your team can review.
WORKFLOW BLUEPRINTIllustrative delivery design
INPUTS TO DEFINE
Permitted footage and camera specifications
Event definitions and operator response
Retention, privacy and deployment constraints
REVIEWABLE OUTPUT
A camera and model assessment
Assess camera views, resolution, lighting and operating conditions. Define the visible target, event rules and representative evaluation footage.
Reviewed against agreed requirementsWHAT WE DEFINE AND DELIVER
Practical artifacts. A shared definition of done.
The exact scope follows discovery. These are the building blocks we discuss, specify and review together.
- Detection, OCR, tracking and visual inspection
- Camera analytics and operator review workflows
- Edge vision, sensors and IoT integration
- Event routing, evidence and operational interfaces
HOW THE PIECES CONNECT
Architecture with your operation in mind.
Camera or image source → edge/cloud processing → event and metric services → evidence review → approved operational action. Sensor and business-system records can add context but are not inferred from video.
Designed around real constraints.
- Model performance depends on the agreed target and real operating conditions; demonstration annotations are not accuracy evidence.
- Camera observations cannot establish invisible facts such as temperature or replace required safety procedures.
FIND THE RIGHT STARTING POINT
A product where it fits. A custom build where it matters.
Use Opsyte for a supported analytics workflow, or scope custom detection, OCR, inspection and field integration around the operation.
Bring your objective and the people it should help. We will shape a first scope and the evidence needed to move forward.
Discuss this projectYour starting point is carried into an editable inquiry. Nothing is booked or provisioned by making this selection.A CLEAR PATH THROUGH DELIVERY
One plan. Visible progress.
A complete build, a focused integration or specialists alongside your team. The engagement follows the scope—not a fixed team template.
- 01
Discover
Define users, the process, constraints and a useful first measure of success.
- 02
Design
Make the interface, architecture, data and integration decisions visible.
- 03
Build & evaluate
Deliver working increments and test the task, permissions and difficult cases.
- 04
Release & evolve
Agree rollout, recovery, handover and the people responsible for ongoing operation.
BEFORE YOU START
Good questions. Clear answers.
Can we use our existing cameras?
We assess stream access, placement, image quality and compute requirements first. Reusing cameras is possible when those conditions support the use case.
Can you build a model for our specific operation?
Custom development starts with data suitability, a clearly observable target and agreed evaluation criteria. Feasibility and rollout follow that assessment.
LET’S MAKE THE NEXT STEP USEFUL
Tell us what needs to work better.
Talk with our team
Explore with our AI guide, or reach the people who can scope the work.