Innovation │ Technology │ Entrepreneurship
In today’s data-driven world, making decisions based on gut feelings is no longer enough. Companies must rely on data insights to drive strategies forward. This poses many challenges connected to people, processes and the technical infrastructure. Having the right tools and enabling your employees to use them correctly is one of the key success factors …
The AVEAS project is working on the detection, analysis and simulation of safety relevant traffic situations. Funded by the German Federal Ministry for Economic Affairs and Climate Action, the project brings together major players in the mobility space (e.g. Understand AI, KIT, PTV Group, Continental and multiple Fraunhofer instituts). SYNTRA was invited to present the …
NovelSense has won an EU funded project starting in February. In this project we are working on synthethic data for our traffic camera ABAKUS. The project named SYNTRA is funded within the EUHubs4Data, which is part of the Horizon2020 initiative to support innovative data-driven projects within the European Union. Together with multiple partners, we are …
Hardware restrictions are one of the greatest influencing factors on the performance of artificial intelligence on the edge. To leverage the possibilities of AI for traffic detection, it is crucial to optimize the neural network architecture. At NovelSense we are using neural networks (NN) for the identification and classification of vehicles and other traffic participants. …
The AI Innovation Days where an interdisciplinary workshop for AI in healthcare, which took place in Berlin in October. Goal of the three day event was the exploration of challenges in the Healthcare domain and to discuss how we can apply artificial intelligence to solve them. I had the pleasure of welcoming many experts from …
NovelSense is part of one of Europes biggest funding projects to improve air quality. The DEUS Smart Air project aims to develop a sensor grid which enables cities and municipalities to monitor air pollution and traffic flow to actively improve air quality. The sensor grid is made up of mobile and stationary sensors which cover …
Traditionally, the performance of AI models for “real-time” object detection is directly linked to the computing power and storage capacity of the hardware used to run the model. This factor heavily limits the application possibilities of Neural Networks on the edge of the IoT cloud. At the same time, embedding a Neural Network into an …
NovelSense is developing a battery powered and camera based traffic counter under the ABAKUS brand. The small build-size and low-power design increases the flexibility of the sensor and makes it ideal for temporary installations. Currently the ABAKUS is optimized for the recognition of bicycles. This makes it the perfect tool for cities or traffic planners …
Developing the future of mobility does require thinking about different modes of sustainable transportation. For urban mobility this implies bicycles. Bicycle usage in Germany has seen a significant increase during the 2000s and 2010s. This is partly also due to the development and widespread adaptation of pedelecs and electric bikes. Many cities are looking to …
Project “VideoSmart” is a mFUND project run by LAT Funkanlagen-Service GmbH in Berlin. It aims to utilize existing 360 degree security cameras in Berlins subways to optimize the passenger flow at the stations. Therefore the cameras are used to recognize the amount of passengers in each wagon. The information is transfered to LED signals on …