CUDA LiDAR point cloud pre-processing
LiDAR point cloud data obtained from one of the major automotive OEM suppliers has been processed through our implementation of CUDA pre-processing kernels.
Learn moreOur links with academia provide access to leading research and allow us to analyse complex R&D projects. We take responsibility for the entire project, starting with the design of the system. We will select the right platform, electronics and software to meet all requirements, such as throughput, cost or energy consumption.
If you want to use machine learning in your project, we will choose the right platform and develop the entire deep learning application
LiDAR point cloud data obtained from one of the major automotive OEM suppliers has been processed through our implementation of CUDA pre-processing kernels.
Learn moreFor one of our clients in the medical startup sector we have developed a unique prototype of an embedded platform performing computer vision processing based on Convolutional Neural Networks. Object detection together with depth estimation algorithms analyzing a real time video stream on a GPU processing platform provided valuable feedback for the visually impaired.
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Working with only a limited amount of one dimensional, vector-based doppler radar data our client needed to increase the mean accuracy of pre-defined object classification. As the radar operates in airport vicinity, the classifier was to detect between a number of distinct airborne objects in the given dataset.
Learn moreAutomotive telemetry and data acquisition device with built in GSM/LTE modem, GPS, 3D sensor (accelerometer), CAN module among others. Over the air update of firmware and re-configuration of built in settings (e.g. trigerring alarms when GPS coordinates indicate device is in a pre-configured zone)
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Board Member; CCO Chief Commercial Officer
Graduate of Electrical and Computer Engineering at the Warsaw University of Technology, engineer with a business mindset. 10 years experience in working on complex software engineering projects in a multinational environment.
AI Engineer in Embedded Systems, Board Member
As a software engineer, I am not afraid to learn new languages and technologies. I focus on machine learning in embedded systems and distributed computing. In my work at the university, I teach students the basics of programming as well as the object-oriented programming paradigm.
Embedded Engineer, Board Member
Embedded software developer with experience in various projects and technologies. He have experience in hardware and software of embedded systems. Additionally has knowledge of whole production process collected from a few projects of devices commercially available on the market.
