Today, the challenge for local governments is to carry out various monitoring activities with limited human resources.
We see a great opportunity here to use AI to automate surveillance activities and reduce the pressure on human labour. The problem is getting worse over time.
Another important challenge is the implementation of data-based decision-making processes for municipalities and the collection, processing and management of basic data used in these processes.
A growing trend is the use of drones for data collection and service provision.
In the case of this challenge, it is important to integrate the aforementioned three components into one monitoring activity.
One of the use cases for which we are looking for an integrated solution is to identify the quality of pavement markings and, based on the received data, create work orders for updating the markings for the contractor.
Since this topic is relevant for all municipalities, we see great potential here. The AI-based approach can also be used in other supervision activities – supervision of road construction, supervision of construction permits, supervision of landscaping works, etc.
