Today’s cities need profound changes if we want to live in more efficient, clean and comfortable environments. The so-called Smart Cities are based on pillars such as technological development, sustainable mobility, efficient systems, the Internet of Things (IoT) or waste management among others.
We like cities that are clean, respectful of the environment, which foster social progress and that allow routine activities to be carried out as quickly as possible. Therefore, carrying waste management effectively and efficiently is key to achieving the city model to which we must aspire and which works from public administrations and private companies. In fact, the Sustainable Development Goals of the United Nations established 17 lines of action, in part, to make cities turn towards a much more sustainable and connected model.
Taking into account the forecast of great growth in cities, waste management is a strategic ally since its activity has a direct impact on the quality of life of citizens. Urban waste accounts for about 50% of global waste and is responsible for 70% of greenhouse gases.
Artificial Intelligence and Big Data
In addition to investing in education and information to implement circular economy models based on reducing, reusing, repairing and recycling, it is necessary to bet on innovative solutions such as that offered by Artificial Intelligence and Big Data. For example, ANAVAM, the National Association of Environmental Auditors and Verifiers, presented a study exposing the underground pipe network model as one of the best options to meet all the needs of a Smart City.
Through watertight pipes with a vacuum system, accompanied by turbines that would use the wind from outside, citizens would deposit their bags in the containers and they would arrive directly at the recycling center through an underground network. In addition, these pipes would be synchronized and monitored in real time to avoid errors and breakdowns, being able to measure all your data. Thanks to Big Data, institutions could learn more about hours, amount of waste and customs in their management. With this system, the containers and the garbage would no longer be part of the visual field of the cities and the transport that is responsible for their collection and delivery would be eliminated, also saving the corresponding emissions.
Machine vision solutions
Once the waste is sorted, there are advanced solutions thanks to Artificial Intelligence that allow these materials to be classified by different types and purities. In PICVISA we offer industrial solutions based on image processing and artificial vision, and thanks to our own software, our teams can select and classify these materials by composition, shape and / or color.
The use of high resolution artificial vision, together with well-defined lighting systems, provide efficient solutions with high performance levels that surpass traditional equipment.
Thanks to the addition of advanced technologies such as those we offer in PICVISA, the study of new urban management systems, and a firm commitment to social awareness about circular economy, we will be able to process waste effectively in Smart City.