Home Pi 5 Smart Parking AI System - Predict Open Spots 30 Minutes Ahead Kit
Pi 5 Smart Parking AI System
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Pi 5 Smart Parking AI System - Predict Open Spots 30 Minutes Ahead Kit

SKU: CDN-KIT-2336 Brand: Compoden Category: Electronics > AI IoT > Project Kits
Rs. 30,330.00
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Pi 5 Smart Parking AI System - Predict Open Parking Spots 30 Minutes Ahead

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: Edge ML and IoT integration

Imagine parking lots that tell you exactly how many spots will be free 30 minutes before you arrive. With this kit, you'll build a miniature smart parking system using 8 ultrasonic bays, ESP32 sensor nodes, and a Raspberry Pi 5 that collects occupancy data and trains a machine learning model to forecast availability - just like real-world smart cities do. It blends hardware, IoT, and AI into one powerful, testable project.

What You'll Build

You'll construct a working 8-bay parking monitoring system with sensors mounted on a board (not included). Live occupancy data streams via ESP32 over Wi-Fi to the Pi 5, where a time-series ML model learns patterns and predicts open spots for the next 30 minutes. The result is a local dashboard showing current status and future predictions, accessible on any device - a complete edge AI solution.

What You'll Learn

  • Sensor integration: wiring and calibrating HC-SR04 ultrasonic sensors to ESP32 nodes for precise distance measurement in tight parking bay mockups.
  • Wireless data streaming: programming ESP32 to send real-time sensor data to Raspberry Pi 5 over MQTT, simulating a live IoT parking network.
  • Machine learning for time series: training a regression model (e.g., Random Forest or XGBoost) on the Pi 5 using historical occupancy logs stored on NVMe SSD.
  • Edge deployment: serving predictions on a local web interface, logging data efficiently with M.2 HAT+, and understanding latency trade-offs on a single-board computer.

Kit Contents

Component Quantity
Raspberry Pi 5 4GB 1
HC-SR04 Ultrasonic Sensor 8
ESP32 Dev Board 2
NVMe SSD 128GB 1
Pi 5 M.2 HAT+ 1
USB-C PSU 1
MicroUSB Cable 2
Male-to-Male Jumper Wires 35

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

CBSE Class 11-12 students tackling AI or CS practicals, B.Tech ECE/CSE undergraduates prototyping for Smart India Hackathon, and ATL Tinkering Lab mentors seeking a ready-to-deploy IoT+ML stack - this kit turns a real urban problem into a tangible portfolio project. It is also ideal for IIT/NIT/VIT applicants building edge-AI demonstrators.

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?

Scan the kit's QR code to activate the AI companion trained on this exact system; if you still need help, our WhatsApp support team usually responds within 15 minutes with targeted debugging advice.

Do I need any soldering or extra tools?

No soldering - all connections use a breadboard or female-to-male jumpers on the sensor pins. You will need a mounting board (foam-core or acrylic works) to arrange the 8 bays, not included.

What ML background is expected?

None. The AI companion walks you through dataset collection, training a time-series model, and deploying it. Python scripts are pre-tested; you'll be fine if you can copy-paste and run a script.

Can I use this for a real parking lot later?

Absolutely. The architecture scales: you can add more ESP32+sensor pairs and extend the ML pipeline. The Pi 5, with its NVMe storage and MQTT-based ingestion, handles up to 16 bays with the same codebase.

Ultrasonic sensors in 8 parking bays stream occupancy to Pi 5 - ML predicts availability 30 minutes ahead from historical patterns.

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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