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Pi 5 Fleet Telematics AI Dashboard
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Pi 5 Fleet Telematics AI Dashboard

SKU: CDN-KIT-2339 Brand: Compoden Category: Electronics > AI IoT > Project Kits
Rs. 28,890.00
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Build a Fleet Telematics AI Dashboard with Raspberry Pi 5 — Detect Harsh Braking, Speeding, and Fatigue

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

Difficulty: Intermediate Build Time: 5-6 hrs Age: 15-21 Skill: AI sensor fusion & behaviour classification

Transform raw GPS coordinates, accelerometer readings, and OBD simulation data into an intelligent dashboard that classifies driving patterns. This Raspberry Pi 5 kit captures harsh braking events, speeding violations, and fatigue indicators — real-world telematics used in fleet management and road safety analytics.

What You'll Build

By the end of this project, you'll have a fully functional AI dashboard that processes vehicle data in real time. The system logs trips, flags risky driving manoeuvres, and displays alerts on a local dashboard — the same type of tool used by insurance telematics and logistics companies.

What You'll Learn

  • Stream GPS NMEA sentences and parse latitude/longitude in Python on Pi 5
  • Read MPU6050 accelerometer data and compute jerk to detect harsh braking
  • Simulate OBD-II PIDs using an OBD simulator and extract speed, RPM, and throttle position
  • Train a lightweight classification model to identify fatigue patterns from longitudinal sensor data

Kit Contents

Component Quantity
Raspberry Pi 5 4GB x1
NEO-6M GPS x1
MPU6050 IMU x1
OBD Simulator x1
NVMe SSD 128GB x1
Pi 5 M.2 HAT+ x1
USB-C PSU x1
M-M Wires x20

Why Buy This Kit Instead of Sourcing Parts Separately

Factor Sourcing Separately Compoden Kit
Compatibility checks You verify every part Pre-tested as a system
Build support Forums and scattered tutorials AI companion trained on this exact project
Time to first working build Days of debugging Hours, with step-by-step guidance
Shipping coordination Multiple sellers, multiple delays One shipment from Bengaluru in 3-5 days

Who This Kit Is For

Ideal for CBSE Class 11–12 students exploring AI and IoT for their practical records, B.Tech ECE/EEE majors building capstone projects, and teams competing in Smart India Hackathon. Also a powerful addition to ATL Tinkering Labs for hands-on telematics and road safety experiments.

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.

What if I get stuck during the build?

Our AI build companion guides you step‑by‑step, and you can reach our WhatsApp support team for direct human help within hours.

Is this suitable for a Smart India Hackathon prototype?

Yes — the final dashboard output and real‑time alerts make it a strong SIH entry in the Smart Vehicle or Intelligent Transportation theme.

Does the OBD simulator generate real vehicle data?

The simulator outputs standard OBD‑II PIDs, so you’ll work with the same data frames used in actual cars, without needing physical vehicle access.

Do I need prior ML experience?

Basic Python is enough. The AI companion provides pre‑trained model templates and explains each step so you can focus on understanding, not just coding.

GPS, accelerometer and OBD simulator data on Pi 5 classify driving behaviour — harsh braking, speeding and fatigue alerts.

What's in this kit

Shipping Information

  • Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
  • COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
  • Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location

Returns & Warranty

  • 7-Day Return: Manufacturing defects only (approval required)
  • Warranty: 7 days from delivery
  • Non-Returnable: Batteries, consumables, cut wires, clearance items

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