Raspberry Pi 5 Smart Doorbell Camera Kit - DeepFace Emotion Recognition for HCI Studies

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Research and security prototypes converge in this kit, which transforms a Raspberry Pi 5 into a doorbell camera that identifies facial expressions in real time using the DeepFace library. Whether you're building an HCI experiment to study emotional responses, or prototyping a smart security device that reacts to visitor moods, every component is included and pre-validated.

What You'll Build

You'll assemble a working doorbell camera system that captures video through the Pi Camera Module 3, processes it on the Raspberry Pi 5 using a pre-trained DeepFace model, and displays live emotion labels on the 7-inch HDMI display. The kit results in a deployable prototype that can be used right away to collect annotated data for human-computer interaction studies.

What You'll Learn

• Deploying DeepFace on a Raspberry Pi 5 with NVMe SSD acceleration
• Configuring and streaming from the Pi Camera Module 3
• Building a real-time computer vision pipeline for edge inference
• Integrating display and storage for a standalone emotion recognition system

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

CBSE Class 11-12 students working on AI/ML projects, B.Tech ECE/EEE undergraduates exploring computer vision, and research scholars preparing prototypes for HCI or psychology studies. Ideal for Smart India Hackathon participants, ATL Tinkering Lab mentors, and students at IITs, NITs, VIT, and BITS Pilani.

Built and Backed by Compoden

Every Compoden kit ships with an AI build companion trained on this exact project - accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.