Rijkswaterstaat appointed Pegamento as the party with the best solution to increase the safety of bridge operation through detection. Rijkswaterstaat issued a challenge for market parties to use innovative applications to detect and help prevent dangerous situations when operating bridges. Cameras with image recognition and artificial intelligence allow the operator to see on a dashboard what is happening on the bridge deck.
Through detection, Rijkswaterstaat can increase the safety of bridge operation. To this end, it had issued a challenge for market parties to use innovative applications to detect and help prevent dangerous situations when operating bridges. During the award ceremony, the results of the practical test were presented in which Pegamento’s solution was judged to be the best!
The BCR system can track road users with multiple cameras using Artificial Intelligence and allows the operator to see what is happening on the bridge deck through a dashboard:
BCR is an intelligent system to support bridge operators. With cameras, BCR detects and tracks objects on a bridge using Artificial Intelligence (AI). The operator gets a real-time overview of the situation on the bridge on the dashboard. There is also a “bridge safe,” “bridge not safe” and “bridge possibly unsafe” notification to quickly assess the situation. The operator can look back from any angle what happened in potentially unsafe situations to make an informed decision.
The logical next step seems to be to test the BCR system on a real bridge. In addition, we foresee many more possibilities where we can use connected cameras to map a traffic situation on an online dashboard. Think, for example, of situations in waterways, locks but also traffic intersections or public areas and logistics centers. There are also all kinds of combinations possible with other systems, enabling statistics to be collected on traffic density, weight and wear and tear for the road surface in general.
"Pegamento, in addition to the basic functions required with the computer vision system, has also demonstrated it can meet a valuable extended functionality by being able to track road users with video over time. We are confident in the feasibility and the solution has added value for us."
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