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Longer-term, the data generated from AI cameras can be used to develop more efficient roads and parking spaces

Find out more about Make, Model, Colour Recognition (MMCR) systems here:

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monitor road usage and redirect traffic to alternative routes if congestion is building up.

AI can alert operators to potential traffic jams or road accidents, enabling them to take proactive action to avoid worsening congestion. Simultaneously, updates and closures can be communicated to drivers through integrated digital displays placed along a route.

Parking solutions

When a vehicle reaches its destination, again, video analytics technology can ensure a smoother driving and parking experience — and by extension, lower emissions. Automatic Number Plate Recognition (ANPR) fulfils multiple roles here, by automatically allowing access to a car park for pre-authorised vehicles to enforcing parking penalties, and monitoring a site for dangerous driving. Reducing the time taken to wait for a barrier to raise or a ticket to be issued will ultimately add up across hundreds of vehicles entering and exiting a site. Meanwhile, bad parking that hinders other vehicles and causes congestion can be avoided. ANPR can also help traffic flow more smoothly through other stop-and-go installations like toll roads.

Furthermore, serverless ANPR solutions work on-site to allow entry and exit and to capture and transmit vehicle data without a server. Ideally suited to car parks and small residential estates, investing in this edge-based solution cuts down on the electricity required to run a server room (plus its air conditioning and other utilities to keep it running).

An on-premise server generates, on average, 916 kg CO2e/year and 320 kg CO2e/year to produce — needing over 50 trees to grow each year to offset. Similar gains can be had by investing in cameras that support edge-based AI functionality.

AI parking guidance cameras like the TNF9010 help drivers find available parking spaces. This means people can quickly drive to an empty space instead of waiting for a parking space to become available near the entrance of the car park - creating unnecessary exhaust fumes and congestion back on the road.

Data-driven planning

Longer-term, the data generated from AI cameras can be used to develop more efficient roads and parking spaces. Usage can be analysed to detect the most popular areas and routes and to widen or restrict access based on this. More parking spaces could be provided in popular areas or alternative transport like buses could be introduced. Overlaid with other city data, like pedestrian footfall or air quality sensors, certain areas could be made pedestrian-only during peak times for pollution. The impact of a new road could be analysed to see if it has increased or reduced emissions.

With Wisenet Road AI (which runs on selected Wisenet P series 4K cameras) for example, these advances are at every city leader’s fingertips. Installing AI into a video surveillance system has never been easier — or more critical.

As we continue to fight climate change, every difference you can make to emissions will add to the global effort.