AI video surveillance solutions to reduce carbon emissions

The use of video analysis, with devices that incorporate artificial intelligence technology, helps in efforts to limit climate change, as explained by Uri Guterman, product and marketing director of Hanwha Techwin Europe.

We are at a turning point in the fight against climate change. Scientists have long sounded the alarm about the damage that carbon emissions are causing to our planet, but now widespread unprecedented changes are beginning to be observed; some of which will be irreversible for hundreds or thousands of years.

The good news is that we still have time to limit climate change. He Intergovernmental Panel on Climate Change (IPCC), a United Nations body that assesses the science of climate change, points out that '… drastic and sustained reductions in carbon dioxide emissions (CO2) and other greenhouse gases would limit climate change'.

In addition to taking measures to reduce carbon emissions, it will also improve the quality of life for many people, by having higher quality air in their towns and cities. Air pollution is one of the greatest environmental health risks.

Video and AI analysis

To contribute to a broader reduction of carbon emissions, Business leaders and authorities can invest in smart video-based solutions that minimize congestion and simplify travel through cities and parking lots.

Simultaneously, The video analytics technology used to do this can help in the enforcement of parking fees and road tolls, in the corresponding regulations, to increase safety and improve the driver experience.

Smart cameras, such as the models Wisenet with AI, equip this technology within the device itself, allowing different categories and models of vehicles to be detected and classified, even distinguishing bicycles from cars and trucks, For example.

Operators can thus manage certain vehicle traffic through an area and limit others. Therefore, se podría restringir la entrada de camiones a las calles residenciales o cualquier vehículo de las carreteras cercanas a las escuelas durante los horarios de entrada y salida, lo que mantendría un tráfico fluido y protegería a los residentes vulnerables y a los niños de los gases de escape.

In the same way, los operadores pueden controlar el uso de las carreteras y redirigir el tráfico a rutas alternativas cuando se congestiona el tráfico de vehículos. La IA puede alertar sobre posibles atascos en carreteras o accidentes de tráfico, tomando medidas proactivas para evitar que empeore la congestión.

Simultaneously, las actualizaciones y los cierres al tráfico se pueden comunicar a los conductores mediante pantallas digitales integradas ubicadas a lo largo de la ruta.

Soluciones de aparcamiento

Cuando un vehículo llega a su destino, la tecnología de análisis de vídeo puede garantizar una conducción y experiencia de aparcamiento más fluidas y, por extensión, con menos emisiones.

Automatic license plate recognition (ANPR) también cumple aquí una función relevante, al automatizar el acceso a un aparcamiento de vehículos autorizados previamente para hacer cumplir las sanciones por infracciones y supervisar un sitio para detectar una conducción peligrosa.

La reducción del tiempo que se tarda en esperar a que se levante una barrera o se imprima un recibo se sumará, en última instancia, through hundreds of vehicles entering and leaving a parking lot.

At the same time, incorrect parking that harms other vehicles and creates congestion can be avoided. ANPR can also help make vehicle traffic smoother, as in the case of facilities where you have to stop and then continue moving, such as tolls on roads.

On the other hand, serverless ANPR solutions work on site to allow entries and exits, capture and transmit vehicle data without a server, very useful for parking lots and small residential areas.

Investing in this camera-based solution reduces the electricity needed to run a server room (incluido el aire acondicionado y otros servicios públicos para mantener los equipos en funcionamiento).

Un servidor en las instalaciones genera, on average, 916 Kg. de CO2 al año y 320 Kg. para su fabricación en ese periodo, lo que requiere plantar más de cincuenta árboles cada año en compensación, mientras que se pueden obtener ganancias similares al invertir en cámaras que integran IA.

Los dispositivos de guiado de aparcamiento con IA, como la cámara TNF-9010 (more data in Digital Security), ayudan a los conductores a encontrar plazas disponibles, reduciendo esperas y generación de gases.

Planificación a partir de los datos

A más largo plazo, los datos generados por las cámaras con IA se pueden utilizar para mejorar la eficiencia de carreteras y plazas de aparcamiento, to detect the most common areas and routes and expand or restrict access based on this.

Added to other city data, such as the flow of people or air quality sensors, certain areas could become pedestrian-only during peak pollution hours, as well as analyzing the impact of a new road to see if it has increased or decreased carbon emissions.

With Wisenet Road AI (which runs on selected Wisenet P series 4K cameras), these advancements are already within the reach of local authorities.

Uri Guterman

Director de producto y marketing de Hanwha Techwin Europe