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With Citilog’s Deep Learning capabilities, traffic incidents possibly occurring within Giessbach tunnel will be discovered, classified, and reported immediately with the best-in-class accuracy and the lowest false alarm rate on the market.
In the bustling infrastructure composed with outdoor highways and bridges, the deployment of Citilog Applied Deep Learning (CT-ADL) technology within the Automatic Incident Detection system marks a significant advancement in addressing the persistent challenge of false alarms. This case study delves into the integration of CT-ADL technology, highlighting its important impact on operational efficiency and accuracy in a challenging environment.
The transition from a legacy Automatic Incident Detection system to one powered by Deep Learning marks a big step forward in cutting down on false alarms and making the monitoring process much smoother and more effective.
