Alliance Projects
Learning, Collaborating, Benefiting
Test Area Smart Parking (TSP)
With the Smart Parking project, Wolfsburg wants to manage and optimize parking space an intelligent and environmentally friendly way. To this end, sensors are being installed in a test parking lot that use object recognition software to record the occupancy status. Sensors count both the passing vehicles at entrance and exit as well as parked cars in parking spaces. This way, occupancy status of the parking space can be determined and is visualized for citizens.
WAS sweeps smart!
Using object tracking components from the TSP project, Wolfsburg is aiming at doing waste collection data driven. With detailed knowledge how much trash needs to be collected, vehicle based waste collection can be done much more efficiently. At the same time citizens get statistics over time, which part of the city has which kind of trash to be cleaned up. As in the TSP project, all collected data is send to the city's open data platform.
Research Project RecycleBot
RecycleBot is a German research project, in which efficiency rate of recycling plastic packaging waste. Sorting this type of waste with robots is very challenging and any progress in this area promises enormous benefits for every community. AI based recognition plays a major role as classic object detection algorithms fail with unstructured waste.
AI-Cockpit
AI systems are becoming more and more able to make complex decisions. As these decisions can have drastic consequences, tools and processes to check those decisions are necessary. AI Cockpit is a federal German research project, that develops software components, with which AI driven decisions can be checked and levels of autonomy can be defined.
Urbalytix
Managing modern cities is an increasingly complex task. Sophisticated infrastructures, citizens demanding more and complex services, global warming - cities need the necessary tools, to address all of those needs. Urbalytix is a fully open-source suite of software components, that offers solutions to cities. As an open-source project it is very easy for city governments to cooperate and share development cost.
Traffic Anomaly Detecion in Carmel, Indiana
The reaction time of first responders is key indicator, that every city has to optimize to literally save lives. In the realm of traffic getting to a an accident is usually well managed. Thus detecting accidents and evaluating optimal responses, are two areas in which progress through AI and algorithms can be achieved. Carmel is testing a number of approaches that use it's vast network of cameras and other sensors to detect traffic anomalies.