Waste collection for smart cities
Every day, trucks roam the streets picking up public bins full of rubbish and recycling. The truck follows its set route and schedule to bins that are often not actually full or –even worse – overflowing. The first situation leads to wasted public costs, time, road wear and traffic congestion, and the second – well, nobody likes trash spilling over.
Using Enevo means fewer trucks are needed, using less fuel, and leads to environmental benefits and reduced costs for all. In 2014 the company announced an $8m (£5.2m) funding round, and plans to expand services to smarten up cities around the world.
Finnish start-up Enevo has the solution. Battery-powered sensors are placed into the waste collection bins, and measure the amount of rubbish against the bin’s capacity. This fill-level data is sent back to the waste management company in real time, allowing the trucks to be sent out according to actual need. The routes for the trucks are calculated by the Enevo service automatically, using optimized paths that also take truck availability, traffic and road restrictions into account. As more data is collected, the service begins to make future projections – thus allowing the Enevo to anticipate full bins and start routing trucks to pick them up.
Recycle Tutor is an augmented reality recycling simulator for educating citizens on local recycling guidelines. Many people don't know the rules about recycling in their communities. This tool will help train them in a playful manner by using augmented realty to practice recycling virtual items into the proper bins. All that will be required to play will be internet access, a screen and a front facing camera.