PHY-2403
Artificial Intelligence & Machine Learning Trainer Kit
NVIDIA Jetson-based AI and Machine Learning trainer kit for computer vision, image processing, sensor interfacing, deep learning and intelligent embedded applications.
The PHY-2403 Artificial Intelligence & Machine Learning Trainer Kit is an NVIDIA Jetson-based hands-on learning platform designed for artificial intelligence, machine learning, computer vision and embedded systems applications. It includes a camera module, commonly used sensors, LCD display, ADC module, breadboard and dedicated peripheral interfaces on a single trainer board.
The kit is suitable for learning Python programming, image processing, object detection, machine learning, deep learning, sensor interfacing, data acquisition and AI-based automation.
Applications include artificial intelligence, computer vision, object detection, smart surveillance, robotics, environmental monitoring, intelligent automation and embedded AI projects.
Specifications
Core & Programming
- Controller: NVIDIA Jetson Development Board
- Programming: Python / C++ / Linux
- AI Frameworks: TensorFlow / PyTorch / OpenCV
- Prototyping: On-board Breadboard
- GPIO: Dedicated GPIO Interface Connectors
- Memory: MicroSD Card Slot
Display & Indicators
- LCD: 16×2 I2C LCD
- Potentiometer: On-board Potentiometer
Camera & Vision
- Camera: Camera Module
- Camera Interface: CSI Camera Connector
Sensors
- Temperature & Humidity: DHT11 Sensor
- Ultrasonic: HC-SR04
- Light Sensor: LDR Sensor Module
- Motion Sensor: PIR Sensor
- Soil Moisture: Soil Moisture Sensor Module
- Gas Sensor: MQ Series Gas Sensor
- Pressure Sensor: BMP180 Barometric Pressure Sensor
- Temperature Sensor: LM35 Sensor Interface
- Sound Sensor: Sound Detection Module
- Heart Rate: Heartbeat Sensor Interface
Control & Interfaces
- ADC: ADS1115 Analog-to-Digital Converter
- Communication: UART / I2C / SPI Interfaces
- Connectivity: USB / Ethernet Interfaces
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