In an ongoing coorperation with Wageningen Food & Biobased Research and German life sciences company Scienion AG, the HAN University has been working on instruments("Methode Sneldiagnostiek") for biosensor read-out which can be applied for e.g. point-of-care diagnostics. One of the readers being developed involves lateral flow tests which is widely applied as the well-known home pregnancy test. A liquid (urine) containing bio-material flows over a strip with lines printed on it that react (or not) with certain substances and colorise (also referred to as: lateral flow assays technology). For this application a relatively cheap Raspberry Pi single board computer with camera is used to acquire images and run the software.
For a potential project it is required to monitor the output of mobile solar panels and the charge percentage of the storage batteries attached to the panels via an MPPT (Maximum Power Point Tracker). This allows for customers to have green electricity available available in off-grid places. When the amount of sun light is not enough to keep the batteries charged the batteries must be replaced with charged ones during the time the customer uses the electricity. Therefore the amount of current produced by the solar panels, the charge percentage of the batteries and the amount of current that is used by the customer must be monitored. This can be done with a simple micro-controller, current sensors and a GPRS module (with sim card). Besides this, a GPS module ensures that the location of the solar panel is always known (in case of unauthorised displacement of the equipment (i.e. theft)).
NVIDIA offers the Jetson Nano Developer Kit to the public. Artificial intelligence (AI) are words that cover a range of applications (from speech to vision applications), but in this project only 2 types of vision applications are dealt with: 1) Classification and 2) Regression. Classification is all about predicting discrete outputs (i.e. object recognition for example). Regression is used for continuous output of results (i.e. where is the object). Several SD card images are available for the Jetson Nano and easy-to-follow tutorials can be followed free of charge via NVIDIA's deep learning institute.
Mc'bedded owns a 3D printer to generate prototype mechanical parts with a size up to approximately 150 mm3. A delta robot has been reproduced with permission from Mr. Chasteau and slightly adapted to be able to attach the Jetson Nano to it.
Any ideas you may have, any questions you want to ask or things you are wondering for your situation: if it is physically possible, your imagination is the limit! Use the contact form to leave your message and contact details and Mc'bedded will be in touch with you as soon as possible!
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