Collaborate Disseminate
The cameras at the front of Meta’s Quest VR headsets are off-limits to developers, but developer [Michael Gschwandtner] created a workaround (Linkedin post) and shared implementation details with a VR …read more Continue reading Meta Doesn’t Allow Camera Access on VR Headsets, So Here’s a Workaround
Segment Anything, recently released by Facebook Research, does something that most people who have dabbled in computer vision have found daunting: reliably figure out which pixels in an image belong …read more Continue reading Need To Pick Objects Out Of Images? Segment Anything Does Exactly That
Ugly sweater season is rapidly approaching, at least here in the Northern Hemisphere. We’ve always been a bit baffled by the tradition of paying top dollar for a loud, obnoxious …read more Continue reading Render Yourself Invisible to AI with This Adversarial Sweater of Doom
[8BitsAndAByte] found herself obsessively labeling items around her house, and, like the rest of the world, wanted to see what simple, routine tasks could be made unnecessarily complicated by using …read more Continue reading A Label Maker That Uses AI Really Poorly
There was a time when making a machine to identify objects in a camera was difficult, even without trying to do it in real time. But now, you can do …read more Continue reading Real Time Object Detection for $59
Our smartphones are incredibly powerful computers in their own right, yet we don’t often see them directly integrated into projects. Intel Intelligent Systems Lab has done exactly that with the release OpenBot, an open source smartphone based self-driving robot.
Most of the magic happens on the smartphone, which runs an …read more
[Erik Knutsson] is stuck inside with a bunch of robot parts, and we know what lies down that path. His Open Personal Assistant Robotic Platform aims to help out around the house with things like filling pet food bowls, but for now, he is taking one step at a time …read more
A Raspberry Pi with a camera is nothing new. But the Pixy2 camera can interface with a variety of microcontrollers and has enough smarts to detect objects, follow lines, or even read barcodes without help from the host computer. [DroneBot Workshop] has a review of the device and he’s very enthused about the camera. You can see the video below.
When you watch the video, you might wonder how much this camera will cost. Turns out it is about $60 which isn’t cheap but for the capabilities it offers it isn’t that much, either. The camera can detect lines, intersections, …read more
Continue reading Pixy2 is Super Vision for Arduino or Raspberry Pi
An outstanding number of things most people take for granted present enormous hurdles for people with physical disabilities, including interaction with computers and other digital resources. Assistive technologies such as adaptive switches allow users who cannot use conventional buttons or other input devices to interact with digital devices, and while there are commercial offerings there is still plenty of room for projects like [Cassio Batista]’s DIY Low-cost Assistive Technology Switches.
[Cassio]’s project focuses on non-contact switches, such as proximity and puff-based activations. These are economical, DIY options aimed at improving accessibility for people who are unable to physically push even …read more
Continue reading DIY Switches For People Who Can’t Push Switches
If a picture is worth a thousand words, a video is worth that times the frame rate. Matroid, a computer vision startup launching out of stealth today, enables anyone to take advantage of the information inherently embedded in video. You can build your own detector within the company’s intuitive, non-technical, web platform to detect people and most other objects. Reza Zadeh, founder… Read More Continue reading Matroid can watch videos and detect anything within them