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@neilh20
7 days agoFor the aspect of visual analysis – perhaps one of these hardware modules might be appropriate
https://docs.edgeimpulse.com/docs/edge-ai-hardware/edge-ai-hardware
Which partly means choosing the size of a camera, seems like its is 2Mpixel or 5Mpixel
https://docs.edgeimpulse.com/docs/edge-ai-hardware/mcu/openmv-cam-h7-plus
There is also a discussion of noise analysis – could different insect noise signatures be used
https://www.hackster.io/c_m_cooper/monitor-your-noisy-neighbours-with-edge-impulse-9e5edd
Hi @Mike Miller, good to have a variety of skills, and the target of making stuff/engineering is to have a customer or user -your 
and then the user phrasing requirements – often iteratively with the engineering side.
I also volunteer at the local uni as industry advisor for their “Capstone Engineering Program”. For capstones projects, its often about the challenge of getting started- teaching basics and team work. Phrasing a requirement, then taking it through design and verification testing it, and then a poster to explain it. Often getting it all actually working or capturing enough of it for another group to start on following year – is a big challenge, learning curve – and not on the marking chart. Real world users, appreciates a working prototype.
Good to hear that powering is on the list – at the level power could be in real basics – deploy by a stream, leave for six months and then return to pick up. That could be 3 D cell batteries, or Solar Panel 3W with 4AHr battery – and/or could be statistically take camera shots as power saver. Of course if you have a camera – then I assume there is visual recognition computing algorithm – which requires a certain size of processor. Or maybe its simpler – just take 5 pictures 1sec apart every 15minutes, and store on a uSD, and analyze later.
I wonder if the audible signatures that most winged insects leave would be sufficient ID. Of if the buzz can be decoded by a computer sci project to specific insects.
There is a low cost device called Audio Moth that is purpose built for this and maybe of interest – https://www.openacousticdevices.info/audiomoth
I think there is an open source version – and depending on what type of student course it is – it maybe could have a software modification to add a LED that gets turned on periodically to attract insects to near the microphone.
Thanks for the update, its nice to get the visibility on what is coming.
Of course the real world is its also useful to know when something change, and then adapt to it ….. or sometimes its a case of figuring out its not working and write an issue on it https://github.com/ODM2/ODM2DataSharingPortal/issues.
Gosh complex – it was great in the above all the linkages – reviews technically to my mind are features, and synergy in using them. Seems to me reviews can be on how to use (introducing to a new audience), teach basics (IHMO that is core MS), AND how to scale . One option for projects might be Hackster.io, hackday.io. Standards discussion, can be useful, possibly separated into user visible and embedded equipment standards – measurement traceability of sensors and influence like water temperature with analog and SDI-12/RS485 – and component standards like IEEE 802.11 (Ethernet WiFi), Cellular CAT-M1, LoRa WAN, , USB OTG – which all have hardware and software.
Synergy with other “standards” pjrc.com Teensy3., SAMDxx Adafruit , sparkfun, seeed, Arduino.cc would have potential leverage, but there is chasm with the AVR1284 in leveraging higher level software. I designed with mega2560 in 2008, and I thought AVR was superseded until finding Mayfly in 2018. For IoT the software standards are with mqtt, though it’s a component middle ware. Then there are process “best management” standards which evolve per industry and organization … opening it for discussion with some thoughts posted here …
https://www.envirodiy.org/topic/osh-a-discussion/
