Small-sized waste on lawns and gravel areas poses both an ecological and economic problem. Unlike on asphalt surfaces, conventional sweepers cannot be used here, so these areas must be cleaned manually. This laborious process incurs considerable costs after major events and for operators of parks and other green spaces.
Angsa is fundamentally revolutionizing the cleaning of grass and gravel areas.
Our core innovation is a neural network that can locate individual trash objects. This enables Angsa's robot to locate trash in real time and remove it from a wide variety of surfaces. The robot can operate day and night, increasing cleaning speed and reducing costs for cleaning companies.
Small-scale waste on grass and gravel areas is both an ecological and an economic problem. Unlike on asphalted surfaces, no sweepers can be used here, which is why these areas have to be cleaned manually. This complex process causes considerable costs after large events as well as for operators of parks and other green spaces, which is why these areas have to be cleaned manually. This complex process causes considerable costs for operators of parks and other green spaces. Angsa fundamentally changes the way grass and gravel are cleaned. Our core innovation is an artificial neural network architecture that can localize individual objects. This allows the autonomous trash picking robot from Angsa to locate waste in real time and to remove it from any surface. As the robot can be used during day and night, the speed of the trash removal is increased and the costs are reduced for the cleaning companies.
