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garbage detection of tomorrow

The problem of forest - nature pollution on hiking trails, cycle paths, mixed paths and on international pilgrimage routes!

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

Anyone who moves a lot on these paths will have already recognized how bad the situation is with these paths.


A New Industry! Creating new products is always expensive. So what to do? See if you can get further with existing technology by simply adapting it to the circumstances. The easiest solution. Sometimes it's 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 development 2.) With 1-2 special cameras that are mounted directly on the bike and are powered by the e-bike battery, the always-on solution!


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


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 garbage detection.

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



What will we gain if something like this were to happen in the future?


Every country in which such systems are used can work with data and results after just six months. 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 transported.


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

Although the garbage is obviously left by humans, a way needs to be found to make it less likely to happen in the future. This is a building block in the whole.


After 1000 ways evaluated

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

Then you have to get them in shape. Signs and instructions can help in a targeted manner, but additional rubbish bins can also be set up. Signs with statistics can also be placed at the start of these very conspicuous paths, so that everyone who uses this path is already informed about it.

This trail has an above-average level of dirt from people like you. During the cleaning, more than 20 kg of rubbish came together over a distance of just 5 km. Place a photo of the collected rubbish next to it so that everyone realizes that people are also the problem. This data can also be forwarded to the relevant app operators so that, for example, the app of the individual cities can adjust their information here. The Komoot app is very well known worldwide and could make its contribution here. Reached goals could be displayed on various routes.


In what other ways would the system be useful?


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

In this way, joggers, hikers and runners can make a contribution. In this way, vehicles that are often on the road near water can collect the data in real time using the camera systems mounted on the vehicles without any additional effort. For example, coastguards with jeeps, lifeguards in quads, areas where beach sections are regularly patrolled.

If we return to the woods, it makes sense here to adapt the foresters and their vehicles.


The movement of garbage around the globe has long been recorded. To do this, you first had to build an infrastructure. With satellite technology, the large and well-known plastic eddies of the oceans can now be captured and tracked. It was thought at first 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.


In a control center, the movements of waste can be displayed and new projects can be worked out to combat the problems that have now grown. It is nothing else.


In order to initiate financing for such projects, one should contact all companies that have been shown 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.

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