Get started with machine learning on Raspberry Pi using this complete kit featuring the Adafruit BrainCraft HAT. Train custom models with Microsoft Lobe’s free, easy-to-use app, then deploy them directly on your Pi for image recognition, audio detection, and AI projects.

Everything you need is included except the Raspberry Pi 4 itself. No soldering required plug the parts together and start your machine learning journey within an hour.

Kit Contents

• 1 Adafruit BrainCraft HAT for Raspberry Pi 4
• 1 Raspberry Pi Camera Board v2 (8 Megapixels)
• 1 Camera case with 1/4″ tripod mount
• 1 Official Raspberry Pi USB-C Power Supply (5.1V 3A)
• 1 Camera flex cable (300mm)
• 1 8GB MicroSD card

BrainCraft HAT Features

• 1.54″ IPS Display 240240 TFT for inference output and UI
• Stereo Microphones Dual MEMS mics for audio AI projects
• Speaker Outputs Stereo ports for audio playback and alerts
• Headphone Jack 3.5mm stereo output
• 5-Way Joystick + Button User interface controls
• 3 RGB DotStar LEDs Visual feedback indicators
• Camera Connector Slot for Pi camera cable
• Cooling Fan Keeps Pi cool during AI inference
• Privacy Switch Hardware switch to disable audio codec
• STEMMA QT Port I2C for adding sensors
• 2 STEMMA Connectors PWM pins for NeoPixels or servos

Ideal For

• Image classification and object recognition
• Voice and sound detection projects
• Smart home assistants
• Learning machine learning concepts
• Edge AI and TensorFlow Lite projects

Resources

• Microsoft Lobe
• Lobe Adafruit Kit GitHub