Garbage detection tomorrow

T he problem of forest - nature pollution on hiking trails, bike paths, mixed routes and on international pilgrimage routes!

A solution could look like this, the idea ...

Anyone who moves a lot on these routes will have already recognized how badly these routes are.

E in new branch of industry! Creating new products is always expensive. So what to do? See if you can get ahead with existing technology by simply adapting it to the circumstances. The easiest solution. Sometimes it is a small sensor or an additional mini camera that solves the whole problem in the next generation.

Option 1. ) Modified and revised helmet cameras with detection of garbage on driven and walked routes.

Expensive and much more complex, but still an option for bike manufacturers and the development 2. ) With 1-2 special cameras that are mounted directly on the bike and receive the power via the e-bike battery, the solution is always there!

A software that is able to recognize faces is considered to be the most complex, the easier it should be to solve this task. A software that recognizes garbage on the way and along the way to a depth of 1-2 m. A photo catalog of examples of rubbish makes starting easier. Artificial intelligence (self-learning) then supports the optimization of the detection of waste. So it is enough to adjust the color spectrum. Colors that do not occur in nature can be decisive here in the detection of waste. Wherever waste is processed, you can get the first incentives to understand existing waste incineration plants and which technical aids they use so that details of waste can be recognized.

In practice, the systems can work like this. As soon as you load the video material onto your computer, the video sequences are anonymized and evaluated on the specially developed software for waste detection.

Optional : Here, the integrated software of the helmet camera can already mark garbage when recording the video material and include the location or the route. Tracking logs with individual photos are then sent to the companies on the computer for evaluation.

How do we benefit if there would be something like this in the future?

Any country in which such systems are used can already work with data and results after half a year. Which paths and routes are particularly dirty and dirty. The cities can thus revise and adapt the cleaning concept for recreation areas and circular routes.

Companies that collect and analyze data can better understand how waste is handled and how it goes.

It is a small contribution to have a lasting impact on the problem of waste in the future .

Although the garbage is obviously left behind by people, a way must be found that this will happen less in the future. This is a building block in the whole.

After evaluating 1000 ways

100-300 ways remain that are particularly dirty and conspicuous.

T his is true it then to get fit. In this way, signs and information can help, but also additional trash cans can be set up. At the beginning of these very striking routes, signs can also be placed with statistics so that everyone who uses this route is already informed about them.

T his way above average dirty, by people like you. During the cleaning process, over 20 kg of rubbish came together, and that in just 5 km. Next to it, place a nice photo of the garbage collected so that everyone is aware that humans are the problem. T his data can also join the Appropriate App operators are passed on, so that for example can customize your information the app of the cities here. The Komoot app is very well known worldwide and could make its contribution here. Reached goals could be shown on various routes.

How would the system still be useful?

Especially in the area of the coast, as well as the many beaches.

Thus J Ogger, W and L other äufer make a contribution. Vehicles that are often close to the water can collect the data in real time using the mounted camera systems on the vehicles without any additional effort. For example, coast guards with jeeps , lifeguards in quads, areas where sections of the beach are regularly patrolled .

Let's go back to the forests and it is obvious to adapt the foresters and their vehicles.

The movement of M ual around the globe is recognized for a long time. To do this, you first had to set up an infrastructure. With satellite technology, today you can capture and track the large and well-known plastic swirls of the oceans. At that time it was only thought that it was an algae carpet or oil residues. The carpets of plastic have become so huge. We collect more data today than ever before.

The movements of garbage can be displayed in a central office and new projects can be worked out in order to combat the problems that have meanwhile grown up. It is nothing else.

To initiate funding for such projects, one should contact all companies that are proven to produce the most waste. All these companies in the network could pay off your debt with a contribution of 0.25% of your annual profit.



Kind regards

Rinaldo Imperiale