52072K AI IOT Robotic Kit; all-in-one solution for building AI , IOT and robotic systems. Tailored for researchers, students, and developers, it includes the powerful Raspberry Pi Model B 4 (4GB) at its core, integrated with a suite of supporting accessories and hardware for robotics and automation applications.

Key Features

1. Raspberry Pi Model B 4 (4GB RAM):
   • Quad-core ARM Cortex-A72 CPU
   • Supports 4K video output
   • Dual-band Wi-Fi and Bluetooth 5.0
   • USB 3.0 for faster data transfer
2.  Motor and Servo Control:
   • 16-channel PWM servo driver for precise motor control
   • DC motor driver module supporting up to 4 motors
   • Servo motor (3 included) for robotic arm movement
3. Sensors for Robotics and IoT Applications:
   • Ultrasonic distance sensor
   • IR sensor for line following
   • MPU6050 Gyroscope and Accelerometer for motion tracking
   • Optical encoder for speed and position monitoring
4. AI and Vision Integration:
   • Raspberry Pi Camera Module (8MP or higher)
   • Compatible with TensorFlow Lite for on-device machine learning
   • Preloaded software for face, object, and gesture recognition
5. Connectivity and Expansion:
   • GPIO pin access for custom sensor and module interfacing
   • HDMI output for display connectivity
   • Preloaded OS with software development tools (Python, Scratch, etc.)
6. Power System:
   • 7.4V rechargeable lithium-ion battery with 5V step-down regulator for powering the Raspberry Pi and motors
   • USB-C power adapter for Raspberry Pi
7. Chassis and Build:
   • High-quality aluminum robotic car chassis
   • Four-wheel drive with adjustable mounting slots for sensors and servos
   • Compact and modular design
8. Cloud Integration:
   • Compatible with popular IoT platforms like ThingSpeak, AWS IoT, and Azure IoT
   • Preconfigured to send data via HTTP, MQTT, or WebSocket
9. Development and Learning Resources:
   • Detailed documentation and tutorials for beginners and advanced users
   • Preloaded with robot control software and test codes

Kit Contents

1. Core Components:
   • Raspberry Pi Model B 4 (4GB RAM)
   • Raspberry Pi OS preloaded on a 32GB micro SD card
   • Camera Module (8MP or higher)
2. Actuation Components:
   • 4x DC motors with encoders
   • 3x Servo motors
   • Motor driver module (L298N or equivalent)
   • 16-channel PWM Servo Driver
3. Sensors:
   • 1x Ultrasonic Sensor (HC-SR04)
   • 1x IR Sensor
   • 1x MPU6050 Module
4. Power Supply:
   • 7.4V 2500mAh rechargeable battery
   • USB-C power adapter
5. Accessories:
   • Aluminum robotic car chassis with wheels
   • Mounting hardware and screws
   • Jumper wires and GPIO expansion board

Robotic Applications

• Autonomous robotic vehicles
• Gesture-controlled robots
• AI-powered vision systems
• IoT-based home automation
• Industrial automation projects
• Target tracking and following
• Autonomous navigation robot with SLAM

AI IoT Applications:

• Implementing facial recognition
• Smart Healthcare Monitoring
• Edge AI application
• Implementing Emotion Detection
• Implementing text analysis applications
• collect data from IoT devices and process the data with AI models for real-time analysis, predictions, or optimization of IoT systems.
• Smart traffic flow monitor or speed track analytics
• Tracking the movement of a particular person or object
• Real-time Language Translation
• Smart Vision Brightness Control
• Cursor Control via Webcam

Basic IoT Applications (ESP32):

• Home Automation
• Bluetooth enabled applications
• Voice/speech controlled IoT devices
• Thingspeak/Blynk Cloud-based applications
• M2M communication using Wireless

Benefits

• Open-source Flexibility: Fully compatible with Python, Open CV, and other open-source software.
• Modularity: Easily customizable for various robotic applications.
• Performance: Combines the computational power of the Raspberry Pi 4 with precise motor and sensor integration.
• Automation: Automates decision-making processes, reducing the need for human intervention and increasing efficiency
• Real-time Processing: Supports real-time analytics, enabling quick responses and adaptive behavior in dynamic environments
• Data Collection and Analytics: Facilitates the collection of large volumes of sensor data, which can be used for analysis and predictive maintenance.