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The Official Hackaday Prize Video

A project log for AI Wildlife Species Bat Detector

Species are auto detected 'in the wild' using machine learning with results transmitted to the cloud

capt-flatus-oflahertyCapt. Flatus O'Flaherty ☠ 09/16/2020 at 07:060 Comments

Since this project is now one of the 34 finalists, I thought I should produce a video update on the project. Nothing much has changed with the hardware over the last couple of months but I have done quite a few re-training sessions with the addition of new data to improve accuracy. I have used the detector every night, weather permitting, for last 6 months or so and the results can be seen live on this web page: LIIVE FEED between about 19:00 and 08:00 hours local time. I am in the UK and my time zone is BST or GMT or somewhere near 0 (it changes in October!)

It's actually very satisfying to have a project at some kind of 'finished' stage although it would be really great to have a custom PCB built for the power supply with some kind of scheduling chip on it so that the Nano / RPi 4 can be fired up at a pre-determined time of day and then shut off again later, thus saving battery power.


Talking about power, it's astonishing that there is no 'consumer' solution for providing adequate battery orientated 5V power for these power hungry devices. At the time of building the system, there was no plug and play shield available for the high currents required and nothing for taking power from a lead acid battery at charging voltages of, for example, 15 volts.

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