Computer Vision-Based Electric Vehicle Charging Occupancy Detection
Community event hosted by Arm
This event is organised by and for Raspberry Pi enthusiasts.
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9 Apr 2024
2.45pm – 3.15pm CEST
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Messezentrum 1
Nürnberg, Germany
![](https://events-assets.raspberrypi.com/storage/representations/proxy/eyJfcmFpbHMiOnsiZGF0YSI6Ijk2ZmVmNDgzLTczNDgtNGIxZi1iYWI2LWU2NzdiMjY4MjdlZCIsInB1ciI6ImJsb2JfaWQifX0=--044c41ba5ecaa99e5c8dfcd332a24c5b9cf78b26/eyJfcmFpbHMiOnsiZGF0YSI6eyJmb3JtYXQiOiJqcGVnIiwicmVzaXplX3RvX2ZpdCI6WzE1MDAsbnVsbF0sInNhdmVyIjp7InN1YnNhbXBsZV9tb2RlIjoib24iLCJzdHJpcCI6dHJ1ZSwiaW50ZXJsYWNlIjp0cnVlLCJxdWFsaXR5Ijo4MH19LCJwdXIiOiJ2YXJpYXRpb24ifX0=--09a5c342301635b01e8773aef4c5689b3047a2a3/Pico%20EV%20occupancy%20detection.png)
Details
As part of the ‘Embedded Vision & Edge AI’ track at Embedded World 2024, Arm’s Sandeep Mistry is sharing a case study on computer vision-based electric vehicle charging occupancy detection, a project which uses Raspberry Pi Pico.
This half-hour talk forms part of a longer session (session 7.5 in the event program) in which a number of case studies will be presented by different organisations. Embedded World registration is required.
Visit organiser website