IoT Training Kit Specifications

Order Code: 24257716.2

Category: General Lab Equipment V

Discrete IoT nodes: which comes with a Dual-Core 32-bit LX6 Microprocessor, 520 KB of SRAM, 448 KB of ROM which will be helpful in edge computing, supports WiFi, Bluetooth, Zigbee, LoRa and LTE. Supports 18 channels of 12-Bit ADC. Serial Connectiv...



SPECIFICATION

Discrete IoT nodes:

which comes with a Dual-Core 32-bit LX6 Microprocessor, 520 KB of SRAM, 448 KB of ROM which will be helpful in edge computing, supports WiFi, Bluetooth, Zigbee, LoRa and LTE. Supports 18 channels of 12-Bit ADC. Serial Connectivity include 4 x SPI, 2 x I2C, 2 x I2S, 3 x UART. Supports Motor PWM and up to 16-channels of LED PWM.

 

Integrated Iot nodes:

which comes with an in-built touchscreen display, stackable modules for enhancing its functionality (such as LTE, Ethernet, etc.,), Dual-Core 32-bit LX6 Microprocessor, 520 KB of SRAM, 448 KB of ROM which will be helpful in edge computing, Supports WiFi, Bluetooth, Zigbee, LoRa and LTE. Supports 18 channels of 12-Bit ADC. Serial Connectivity include 4 x SPI, 2 x I2C, 2 x I2S, 3 x UART. Supports Motor PWM and up to 16- channels of LED PWM.

 

Raspberry Pi :

Broadcom BCM2711, Quad core Cortex-A72 (ARM v8) 64-bit SoC @ 1.8GHz, 1GB, 2GB, 4GB or 8GB LPDDR4-3200 SDRAM (depending on model), 2.4 GHz and 5.0 GHz IEEE 802.11ac wireless, Bluetooth 5.0, BLE, Gigabit Ethernet, 2 USB 3.0 ports; 2 USB 2.0 ports, Raspberry Pi standard 40 pin GPIO header.

 

Arduino ATmega328P :

 It has 14 digital input/output pins (of which 6 can be used as PWM outputs), 6 analog inputs, a 16 MHz ceramic resonator, a USB connection, a power jack, an ICSP header and a reset button. It contains everything needed to support the microcontroller; simply connect it to a computer with a USB cable or power it with a AC-to-DC adapter or battery to get started. You can tinker with your UNO without worrying too much about doing something wrong.

 

 

Iot Gateway :

which comes with Quad core ARM based 64-bit SoC and 8GB LPDDR4-3200 SDRAM and 128GB of ROM for AI and ML operations. Supports seamless connectivity of up-to 10 devices using WiFi and Gigabit Ethernet. Supports communication protocols such as HTTP/s, MQTT, Web socket, TCP, UDP, XMPP, etc. 28x user GPIO supporting various interface options: – Up to 6x UART – Up to 6x I2C – Up to 5x SPI – 1x SDIO interface – 1x DPI (Parallel RGB Display) – 1x PCM – Up to 2x PWM channels – Up to 3x GPCLK outputs. 2 × micro-HDMI ports (up to 4kp60 supported), 2-lane MIPI DSI display port, 2-lane MIPI CSI camera port, 4-pole stereo audio and composite video port, Micro-SD card slot for loading operating system and data storage, 2 USB 3.0 and 2 USB 2.0, 5V DC via USB-C connector (minimum 3A*), 5V DC via GPIO header (minimum 3A*) through which we can use it as a standalone PC.

 

AWS cloud platform :

For performing ML and AI operations on Big-data stored in Cloud using AWS analytical engine. Comes with tools which allows users to develop their own ML and AI algorithms and Deploy for the live use cases.

 

Sensors Pack supported with Nodes

1. PIR sensor

2. Ultrasonic sensor

3. GPS

4. 3-Axis Geomagnetic sensor

5. Accelerometer

6. Pressure sensor

7. Push button sensor

8. Temperature and Humidity sensor

9. Light sensor

10. Gas sensor

11. Soil moisture sensor

12. ECG sensor 13. pulse sensor

14. Ardu cam

c) Actuators Pack with Nodes

1. Dual Channel relay

2. Servo Motor

3. DC Motor

4. Motor Driver

5. Stepper Motor

6. Motor driver board

7. OLED display

8. Buzzer

9. Solenoid valve

10. LED pack

d) Communication/Networks/Protocols Supported

? Wi-fi

? BT/BLE

? Zigbee

? LTE

? LoRa

e) Application Layer Protocols Supported

? MQTT

? HTTP/s

? SMQP

? Web socket

? XMPP

? AMQP

f) Cloud Infrastructure (AWS)

 

Enquiry Form