Adaris Vision Studio
Turn representative footage into reviewed examples, teach the system what matters, test difficult scenes and prepare a ready-to-use Player.
- Human-reviewed examples
- Tests before deployment
- Continuous improvement
ADARIS VISION / 01
The goal is not more footage. It is spotting sooner what you currently review too late.
We build computer-vision solutions for businesses that turn camera footage into reviewable detections, counts and alerts, tested on real images with human oversight.
Two real applications. One continuous path from footage to operation.
Open the full product tourTurn representative footage into reviewed examples, teach the system what matters, test difficult scenes and prepare a ready-to-use Player.
We start with the real environment: camera positions, lighting, distance, the objects or events to recognise and the errors the process can tolerate. A standard solution may provide a base, but it is always tested and adapted with material representative of your case.
We define what the system should detect, count or follow, how we will check that it responds well and when a person must review the result. The aim is not to promise perfect recognition, but to build a solution you can evaluate and operate.
Before: a business manually reviews recordings to locate specific events and cannot consistently measure what was detected or missed.
After: an adapted system marks the defined events and retains the reference footage so a person can review uncertain cases before acting.
An illustrative scenario explaining the service; not the outcome of a real customer nor a promise of results.
These examples help assess where computer vision might fit; they do not describe customers, completed projects or results already obtained.
Video analysis can help study movement areas, dwell time and queues to inform layout decisions, using representative material and agreed criteria.
Visual detection can flag missing defined protective equipment inside a zone and prepare an alert for the appropriate procedure.
A solution can check configured visual measurements before requesting an opening through an external integration; it does not replace the room's controls or authorisations.
The system can be scoped to detect people, forklifts or goods, as well as entries into restricted areas and crossings that require review or an alert.
It can check the presence, position or visible appearance of defined elements, validated against real examples with uncertain cases reviewed.
It can help check the agreed items visually at specific points, without presenting detection as a health or regulatory guarantee.
It can analyse occupancy, vehicles in restricted areas and access conditions to raise notices according to the site's rules.
It can distinguish defined visual categories to support separation or flag incidents, provided the material and site conditions are representative.
Is your sector not listed? We can assess other processes that can be observed in images or video and have an outcome a person can check.
Assess my computer-vision caseScope depends on the number of cameras, classes, environmental conditions, data volume and integration method. Data, labelling, infrastructure and third-party service usage are estimated separately and agreed in writing.
We do not promise total accuracy or biometric identification. Before processing images of people, we assess purpose, minimisation, access, retention and applicable obligations; the technical solution does not replace legal advice.
Not always. We first check resolution, angle, stability, stream format and lighting to determine whether the current equipment provides enough information.
Not always. We can start from a proven base and adapt it to the environment. The decision depends on the available images, the required level of accuracy and the cost of keeping it in operation.
This service is framed around detecting objects, categories or events, not promising biometric identification. Any processing involving people requires a specific assessment before the solution is designed.
We agree in advance what it must get right, test it with examples it has not seen and review both incorrect alerts and cases it may have missed.
How to choose your first process to automate with AI
Scope depends on the process, data and existing systems. We assess feasibility, risk and applicable obligations before proposing a solution.