Competition to find the longest serving Raspberry Pi applications

Competition to find the longest serving Raspberry Pi applications

Business news |
By Nick Flaherty

Distributor Farnell has launched a competition to find the longest serving Raspberry Pi application currently in use.

The company last month celebrated its 10-year manufacturing and distribution partnership with Raspberry Pi and the competition to secure a chance to win one of 10 major prize packages closes at the end of the month.

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“We have received some fantastic entries so far, but our search isn’t over. As part of our 10-year partnership celebration with Raspberry Pi Ltd, we would love to uncover as many long serving applications as we can, and this is the last chance,” said Romain Soreau, Head of Single Board Computing, Farnell.

Applications include a motorway congestion tracker featuring an eight-year-old Raspberry Pi 1 Model B through to an automatic lawn watering and pond monitoring application using a six-year-old Raspberry Pi 1 Model B+. 

Other applications include the Norwegian University of Science and Technology Fish Otter project with four Raspberry Pi 4 controlled autonomous catamarans designed to perform persistent tracking of locations of fish. Using tiny sound-emitting devices attached to fish researchers and conservationists can locate fish populations beneath the water’s surface.

A team from National Yang Ming Chiao Tung University has developed a foot-pressure-sensing insole to detect Parkinson’s disease. Signals from sensors in the insoles of a user’s shoes are sent to a wearable Raspberry Pi 3 to measure their gait as they go about their day. An abnormal gait can suggest a diagnosis of Parkinson’s disease and early detection gives people a better chance of a good quality of life for as long as possible.

Researchers from the University of Trento have developed a Raspberry Pi-powered device that automatically detects pests in fruit orchards allowing early preventative action to be taken. An embedded system uses machine learning to process images captured inside pheromone traps and the Raspberry Pi computer manages the sensor, processes the captured images and transmits them for classification. When this task is done manually, farmers typically check codling moth traps twice a week, this automated system checks the pheromone traps twice every day, making it much more likely to detect an infestation before it causes damage.

The 10 prize packages Farnell will give away each include 10x Raspberry Pi Picos and a Pi NoIR 8MP Camera. To enter the competition, participants must submit their entry via the element14 Community with a brief description about the application, how long it’s been working and current photographic evidence of their Raspberry Pi in action. 

Entries can be submitted into this global competition until midnight BST Saturday, April 30. The 10 prize packages will be awarded to the most successful applications in May 2022. The prizes can be claimed by the winners or be donated to a local school, coding club or college in the winner’s country of residence.

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