Object Detection, With TensorFlow
<html> <p>Getting computers to recognize objects has been a historically difficult problem in computer science, but with the rise of machine learning it is becoming easier to solve. <a href=„https://github.com/EdjeElectronics/TensorFlow-Object-Detection-on-the-Raspberry-Pi“ target=„_blank“>One of the tools that can be put to work in object recognition</a> is an open source library called TensorFlow, which [Evan] aka [Edje Electronics] has put to work for exactly this purpose.</p> <p>His object recognition software runs on a Raspberry Pi equipped with a webcam, and also makes use of Open CV. [Evan] notes that this opens up a lot of creative low-cost detection applications for the Pi, such as setting up a camera that detects when a pet is waiting at the door to be let inside or outside, <a href=„https://hackaday.com/2018/05/30/counting-bees-with-a-raspberry-pi/“>counting the number of bees entering and exiting a beehive</a>, or monitoring parking spaces at an office.</p> <p>This project uses a number of other toolkits as well, including Protobuf. It also makes extensive use of Python scripts, but if you’re comfortable with that and you have an application for computer vision, [Evan]’s tutorial will get you started.</p> <p><iframe class=„youtube-player c2“ type=„text/html“ width=„800“ height=„480“ src=„https://www.youtube.com/embed/npZ-8Nj1YwY?version=3&rel=1&fs=1&autohide=2&showsearch=0&showinfo=1&iv_load_policy=1&wmode=transparent“ allowfullscreen=„true“>[embedded content]</iframe></p> </html>
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