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In the pilot at a major wholesale food market, Seevia Horus turns existing security cameras into a mobility dashboard and checks its counts against the access barriers.
Technologies
Seevia Horus
Object detection and tracking
Bird's-eye view (BEV)
RTSP streaming
MQTT
REST API
Madrid's wholesale and logistics site, with vehicles coming and going at all hours. The pilot, part of the Govtech programme, aims to cut congestion and speed up access.
Occasional saturation at the entrances and no traceability inside the site, to be measured with the cameras available, with no works or new sensors.
Illustrative diagram
01
Ten-lane entrance, roundabout and car park: each camera detects, tracks and places objects in a bird's-eye view, a plan seen from above.
02
Vehicles per lane and type, queues, waits, wrong-way movement, occupancy and average speed.
03
Metrics are published; there is no need to store images.
04
We measured the current cameras' coverage to see where new ones would be missing.
Occupancy space by space in a car park.
9,335 of 9,770 vehicles (95% confidence interval: 95.12% to 95.94%). Before tuning the counting engine, 91.82%.
Against the Av. Madrid entrance barriers, over two four-hour windows (28 July, 02:00 to 06:00; 29 July, 06:00 to 10:00). · July 2026
18 cameras, 12 suitable for analytics, 7 used. Over 1,739 metres the current ones observe 32%, with 15 blind sections.
Coverage analysis on the site plan. · September 2026
4 July 2025
Proposal for the traffic measurement system.
21 November to 15 December 2025
Technical study and requirements, with an on-site visit.
23 January to 3 April 2026
Entrance, car park and road use cases.
7 to 29 July 2026
Validation against access control.
Yes. Each case is studied and adapted to its environment and the way it works.
With a study of your case and a scoped pilot before extending.
Write to us and let's talk.
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