Fitness Step Counter Kit v4: Build an Indoor Step Tracker with Raspberry Pi 5 and Optical Flow AI

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

Step counting indoors has always been a challenge — GPS fails, inertial-only trackers drift, and gym floors leave you guessing. This kit turns that problem on its head. With a Raspberry Pi 5 and a Pi Camera Module 3 Wide aimed at the ground, you’ll build a device that tracks every step through optical flow, the same technique used in drone hover stabilization. No GPS, no external references — just a downward-facing camera, an IMU, and some smart Python code. The system stays locked onto the floor texture, counting steps with the same stability a drone uses to hover in place.

What You'll Build

You’ll assemble and program a self-contained step counter that mounts on your ankle, shoe, or belt. The Pi Camera captures rapid sequences of floor images, the Pi 5 computes dense optical flow to detect motion, and the MPU6050 IMU fuses accelerometer and gyroscope data to filter out false positives. Every step gets logged to the NVMe SSD. The result is a precise indoor step tracker that works on any patterned surface — tile, wood, even carpet. The kit is ready to be extended with a display, haptic motor, or Bluetooth data link for real-time feedback.

What You'll Learn

• Implement dense optical flow using OpenCV on a live camera feed to detect ground displacement
• Fuse MPU6050 accelerometer and gyroscope data with visual odometry for robust step counting
• Program the Raspberry Pi 5 GPIO and manage low-latency image capture via the MIPI interface
• Design a real-world AI robotics system that solves indoor positioning without GPS

Kit Contents

Why Buy This Kit Instead of Sourcing Parts Separately

Who This Kit Is For

B.Tech ECE and EEE students working on embedded vision or AI robotics coursework will find a complete platform to explore. CBSE Class 11–12 students with a programming foundation can build and present it for national contests. Smart India Hackathon teams can use the kit as a base for indoor positioning modules, while ATL Tinkering Labs gain a hardware-accelerated computer vision project. Hobbyists in IIT, NIT, VIT, and BITS campuses who want to move beyond simple sensor projects get a real optical flow pipeline.

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.