Mobotix and Konica Minolta working on new camera platform.

MOBOTIX and Konica Minolta are jointly developing a new camera platform that specifically meets the requirements of deep learning methods and will lead to innovative recurring revenue models for both companies.

The new MOBOTIX camera platform is based on the distributed intelligence in the Mobotix camera system, which is crucial for artificial intelligence, as well as communication between devices in smart networks. Potential solutions include the reliable detection of threats through the combination of different sensor technologies, as well as the independent initiation of counter measures.

State-of-the-art analysis methods located in the camera helps users increase process efficiency and develop new business and revenue models. Future software updates will enable completely new functions based on deep learning methods, such as the recognition of human behaviour, moods or voices.

In order to make this possible, a ‘plug-in concept’ is being further developed that goes far beyond what is available on competing products. This allows customers to easily create new features – similar to developing apps – for mobile devices, while taking advantage of the system’s performance, including CPU and GPU power, and programmable logic.

Examples include analysing customer behaviour in retail situations, detecting emergency situations in elderly homes and hospitals or analysing quality in production lines. The first products based on the new camera platform will be launched in the first quarter of 2019/20.

In 2016 Konica Minolta acquired a majority share stake of 65 per cent in Mobotix and in early 2018, Mobotix and Konica Minolta entered into a broad technology development agreement, which saw Mobotix technology installed by Konica Minolta in multiple locations and its hardware and software technologies jointly developed with a view to creating innovative solutions for applications in areas such as smart cities, healthcare, process optimisation and other sectors.

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