The IoT platform developed is a further step towards Industry 4.0. Remote sensors monitor industrial processes and interconnect trough industrial grade WiFi technology. Low power consumption and wireless technology means the battery-operated devices have low maintenance requirements and high robustness.
Information flow is just as important as medication in many medical institutions. As part of our Smart ICU initiative, patient data is collected and with the aid of Machine Learning applied to big data, predictions can be made about the patients’ health. Medical stuff is always informed via the connected mobile applications.
The need to interact and connect is perhaps best visualized looking at traffic. The Connected AI project is tackling the autonomous driving problem by making use of advanced machine learning algorithms constantly adapting to the ever-changing environment through dynamic maps.
Test automation reaches system test. Touchscreen displays are tested with advanced computer vision techniques to rapidly validate results. Electromechanical actuators interact with the touch sensor for a high degree of accuracy and repeatability.
3D reconstruction from ultrasound images
Computers aid the decision making process of medical staff by turning 2D ultrasound examinations into 3D models. Models are hence easier to manipulate offline and allow for better tracking of the condition, reducing the overdependence on the operator.
Embedded Visual Computing
Computer vision is a bigger and bigger topic, implemented on ever smaller devices. Applications like people counting and leg detection are implemented on small extremely versatile embedded platforms. The reduced size and power requirements of these systems makes them very attractive for a variety of applications.
Airborne Image Processing
With drones being more and more ubiquitous the need for autonomy is more and more evident. Autonomous path planning, navigation and obstacle avoidance is the next step in Drone technology.
Growing automation brings humans and robots closer and closer together. An array of 3D cameras creates a dynamic virtual copy of the environment enabling close and safe human robot collaboration. This enables to tailor the production process around the special strengths of humans and robots greatly increasing efficiency in the safest way possible.
Robot interaction needs to be as smooth and intuitive as possible. Face tracking enables robots to detect the subject of interest and follow him around without the need of complex controls and interactions on the user side.