Raspberry Pi AI Camera: High-quality images & on-board AI capabilities

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The recently released Raspberry Pi AI Camera is an innovative new camera module that combines high-quality imaging with on-board AI capabilities. 

What's new about Raspberry Pi AI Camera?

In short, the Raspberry Pi AI Camera features a 12.3MP Sony IMX500 sensor with built-in AI acceleration, allowing on-device processing without taxing the Pi's CPU or GPU.

Build around the Sony IMX500 Intelligent Vision Sensor

Explained in more detail, the Raspberry Pi AI Camera is built around the Sony IMX500 Intelligent Vision Sensor, which integrates a 12.3 megapixel image sensor with an AI accelerator. The vision sensor is paired with a RP2040, a microcontroller chip designed by Raspberry Pi.

The RP2040 makes communication between the main Raspberry Pi board and the Sony IMX500 Intelligent Vision Sensor possible. Although, the RP2040 microcontroller is not directly involved with the AI processing itself. The actual AI inferencing is carried out by the AI accelerator integrated in the Sony IMX500 sensor.

AI capabilities

The Sony IMX500 sensor can perform complex image analysis tasks directly on the sensor, reducing the need for external processing power. As a result, on-board processing is freeing up the connected Raspberry Pi' resources for other tasks.

Meanwhile, the sensor is capable of real-time analysis of visual data including handling various types of neural network models, such as:

  • Object detection
  • Image classification
  • Pose estimation
  • Segmentation

Hardware specifications

The Raspberry Pi AI Camera features the following set of specifications:

  • Resolution: 12.3 megapixel, 4056 x 3040 pixels
  • Sensor size: 7.857 mm, 1/2.3" type
  • Aperture lense size: F1.79 aperture
  • Field of view: 66° horizontal
  • Focus: manual adjustable focus, 20 cm to infinity
  • Dimensions: 25 x 24 x 11.9 mm

Resolution and pixel specs, ensuring high-quality and detailed photographs. The 7.857 mm sensor size (1/2.3" type) and F1.79 aperture provide excellent light sensitivity and depth of field, making it suitable for various lighting conditions.

Additionally, the camera features a 66° horizontal field of view and manual adjustable focus, allowing users to fine-tune their shots from 20 cm to infinity. It has the same form factor as the Raspberry Pi Camera Module 3 but is a bit thicker. Both camera modules are easy to integrate into a broad range of projects, from DIY electronics to professional applications.

Pricing

The new AI Camera comes at a guide price of 70 US dollars. No worries if you do not need the AI features, Camera Module 3 is still available at 25 US dollar. Providing Raspberry Pi users with an affordable alternative.

Setup and usage

The Raspberry Pi AI Camera can be connected to a Raspberry Pi using a standard camera ribbon cable and the CSI port. The AI Camera therefore can connect to any Raspberry Pi that supports the camera ribbon cable. It is working with: Raspberry Pi 5, 4B and other versions.

For the camera module to work, the operating system running on the Raspberry Pi must support the new camera module. Check compatiblity and out standing updates up front.

The camera's AI capabilities are well-integrated within the Raspberry Pi software ecosystem:

  • Compatible with TensorFlow Lite framework
  • Integration with libcamera and Picamera2 libraries
  • Support for tensor metadata output alongside video frames
Plus, the camera comes pre-installed with the MobileNetSSD AI model for object recognition, which makes it easier for users to get started. Existing neural network models from frameworks like TensorFlow or PyTorch can easily be adapted to run on the camera, or new models can be created.
 
There are numerous tutorials and resources available online to help get started.

Here's how:

Raspberry Pi AI Camera applications

The versatility of the Raspberry Pi AI Camera makes it a good fit for a lot of applications. In the field of security, it can be used to create surveillance systems that can detect and alert users. In retail, it can help analyze customer behavior and optimize store layouts.

Other applications include smart home devices, where the camera can recognize individuals and trigger specific actions. The applications are countless, limited only by the user's creativity.

Support by emteria's Android version

The Raspberry Pi AI Camera will soon be supported by emteria's Android version, which brings the Android operating system to the Raspberry Pi platform. Allowing users to develop and run Android applications that make use of the new camera's AI capabilities.

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