Artificial intelligence already supports Brazilian traffic and parking operations. Areatec's systems process more than 600 million transactions per year. The operation also processes more than 307.7 million OCR license plate reads per year. These figures describe the company's aggregate operating scale; they are not a count of the AI training dataset or a performance promise for every project.
Five applications in paid-parking operations
| Application | How it works | Role in the workflow |
|---|---|---|
| Plate reading | Cameras record visible plates and the context of each pass | Organizes the plate, image, position, time and confidence for review |
| Visual classification | The image can be analyzed to estimate make, model and color | Helps flag mismatches that require assessment |
| Activation checks | The reading is compared with valid activations and rules for the area | Sends a possible case to the workflow configured by the authority |
| Occupancy analysis | Authorized sources can be aggregated into dashboards and time series | Supports planning according to available coverage and data quality |
| Urban maintenance | A route can record indications about pavement, signs and urban assets | Routes material for review when that mission is part of the project |
What determines reading performance
There is no single accuracy rate for every street or device. Field of view, focus, distance, height, stabilization, speed, lighting, glare, rain, occlusion, plate condition, camera, hardware and the number of simultaneous channels all affect results. Performance should therefore be validated with a representative sample from the actual route and acceptance criteria defined before testing.
From reading to decision
Aretron can classify visual information and assign confidence to the result. When the project includes an authorized external source, that source can be queried for verification or to add data that cannot be inferred from the image. A mismatch is a signal for review, not automatic proof of fraud or a violation.
In Olho Vivo Patrol, capture and part of the processing can occur inside the vehicle. Remote queries and synchronization depend on connectivity and must follow the operating contract. The system organizes evidence for authorized teams; no reading issues a citation automatically, and any action remains with the competent officer and authority.