Skip to main content
  1. Home
  2. Computing
  3. Photography
  4. News

Google’s new kit uses Raspberry Pi to bring image recognition to your project

Add as a preferred source on Google

Google said on Thursday, November 30 that it released a new AIY Vision do-it-yourself kit based on the Raspberry Pi Zero W board. The kit follows Google’s recent AIY Voice Kit for DIY voice recognition, and provides means for your project to include image recognition without the need for a connection to the cloud. That ability stems from the kit’s vision processing unit, which is capable of running local neural network models.

According to Google, the kit includes software supporting three separate neural network models. One model can detect people, cats, and dogs while another specializes in faces and their expressions. The third model is capable of recognizing “a thousand common objects.” You can even train and retrain your own neural network models using a TensorFlow-based tool built into the software.

Recommended Videos

“We also provide a Python API that gives you the ability to change the RGB button colors, adjust the piezo element sounds and access the four GPIO pins,” Google said.

At the heart of the kit’s design is the $10 Raspberry Pi Zero W board. It’s a self-contained computer consisting of a single-core processor, 512MB of memory, Wireless N and Bluetooth 4.1 connectivity, and several connectors. The kit’s included “VisionBonnet” accessory board packing Intel’s Movidius MA2450 vision processing chip connects to the Raspberry Pi’s CSI camera connector via a flex cable.

The assembly instructions show that these two boards are sandwiched together via the Raspberry Pi’s 40-pin header, and secured in place using plastic standoffs. Meanwhile, the $30 Raspberry Pi Camera 2 plugs into a special slot on the kit’s inner cardboard frame, and then plugs into the CSI camera connector on the VisionBonnet board via a flex cable. Eventually, the base device is enclosed in an additional cardboard shell containing an LED, camera lens, and tripod mount.

Right now, you can pre-order the kit only through Micro Center for $45, but it won’t become available until December 31. The drawback is that Google’s kit does not include the Raspberry Pi Zero W board, the Raspberry Pi Camera 2, or the required blank Micro SD card. Note that this card needs at least 4GB to store the downloadable software required for the device to work, and you’ll also need a utility to install the software onto the card.

Ultimately, the complete image-recognition device for your project will set you back around $85. Add Google’s AIY voice kit, and your project will have the ability to recognize people, animals, objects, and voices. But that’s another $25 just for the kit, which doesn’t include the required $35 Raspberry Pi 3 board, or the SD card needed to store the operating system and voice-recognition software.

So what can you do with image recognition? Google lists a few examples, such as detecting when your dog approaches the back door, sounding an alarm when a sibling creeps into your room, and witnessing the reactions of your neighbors when they view your Griswold-style holiday decorations. The kit sounds like fun if you’re willing to shell out an additional $85 for your project.

Kevin Parrish
Kevin started taking PCs apart in the 90s when Quake was on the way and his PC lacked the required components. Since then…
OpenAI is investigating more incidents of AI agents going rogue days after hack
OpenAI logo on Microsoft surface

It appears that the "AI agents going rogue" tale has more to it than what AI giants have revealed publicly so far. Merely days after OpenAI announced that its AI agents went rogue and hacked Hugging Face, Anthropic dropped a similar bombshell. Soon, it was discovered that not just one, but multiple services were compromised. Well, it seems there are even more layers to it.

Reuters reports that OpenAI has found more incidents of AI agents escaping their software containment environment during research. Citing sources with knowledge of the incident, the outlet notes that the AI agents didn't go beyond OpenAI's software environment and affect any external service.

Read more
AI is finding Apple security flaws faster than Apple can sort through them
Apple has limited how many bug reports researchers can keep open as AI tools produce both genuine Mac vulnerabilities and a flood of questionable submissions
Lighting, Architecture, Building

Apple has capped the number of security reports researchers can keep open at once after AI bug hunting put its review process under pressure, according to the Financial Times.

Some submissions describe hallucinated or purely theoretical risks. Others uncover vulnerabilities serious enough to require patches. Bynario told the FT that it found more than 50 possible macOS flaws in three weeks, including a privilege-escalation chain that could give an attacker full control of a Mac.

Read more
Anthropic is paying $1.5 billion over pirated books, but it can still legally cut up purchased ones
The settlement addressed unauthorized ebook downloads, not the destructive scanning of lawfully bought physical copies, a distinction now alarming booksellers
Book, Publication, Indoors

A federal judge has approved Anthropic’s $1.5 billion settlement over nearly half a million pirated books. The same litigation also protected a more physical method of feeding its AI systems. Anthropic bought print books, removed their bindings, scanned every page and destroyed the originals.

The legal divide came down to acquisition. The settlement covers books downloaded from LibGen and PiLiMi, while the court treated Anthropic’s one-for-one conversion of purchased books into private digital files as fair use. Training AI models on lawfully acquired material was also considered transformative.

Read more