Nero

/Nero
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Idea

It has become a critical and laborious task to explore all the possible marvels of numerous industries like the healthcare and medication industry, where surgeries involve precision and opinions from experts around the world, in places like chemical manufacturing plants, packaging and production industry, and all areas of commerce with harsh chemical environments. This project is just the solution to all the stated problems. Nero is a leap forward in making all the tasks possible that cannot be completed just with human intervention and skills.

This gesture-controlled smart robotic glove enables us to achieve an economical solution using pre-existing technology. It can be implemented to control and automate machines like robotic arms, conveyor belts, pullies, cranes, and innumerable other devices.

Your imagination is the limit to the efficiency of Nero. This project provides us with remarkable precision, accuracy, and gives liberty to further accessibility and automation.

Classification
IoT
O/S
Windows
CLOUD
MQTT
Project participants
shijith_mathew(shijith.s@btech.christuniversity.in)

Project summary

Nero is a smart glove which can be potentially used for controlling robotic arms, conveyor belts, cranes or other equipment in extreme-temperature and hazardous environments. “Nero”, as the smart glove is called, is a project which yields remarkable precision and accuracy, despite its low cost.

This gesture-controlled smart robotic glove is based on the NodeMCU ESP8266 Breakout Board, which can be used with the NodeMCU LUA package or it can be programmed under the Arduino IDE for ESP8266. The project consists of two main parts, the transmitting side and the receiving side. The developers have used the WIZnet Serial-to-Ethernet board to publish the data received from the Arduino to the MQTT broker, as well as a NodeMCU to subscribe to the data at the receiving side.


Project Content

Transmitting Side

Circuit Connections:

Step 1: Connect the Hall effect sensors(A3144) and the gryoscope sensor(MPU6050) to the Arduino as shown below. (Refer to the pinout diagrams for the connections)

o Hall sensors are connected to d9 and d6 of the Arduino

Step 2: Connect the Arduino Uno to the WIZ750SR board (with Serial to Ethernet converter) using an RS-232 cable as follows:

o The transmitting pin (pin 11 in this case) of the Arduino Uno is connected to the receiving pin of the WIZ750SR Serial to Ethernet using the RS-232 cable and jumper wires.

o Receiving pin (pin 10 in this case) of the Arduino is connected to the transmitting pin.

o Ground pin of the Arduino is connected to the ground pin of the WIZnet board.

Step 3: Connect the WIZnet board to the network (for MQTT connection) using an Ethernet LAN cable.

Step 4: Connect both boards to the PC to upload the codes.

 Code for Transmitting Side:

Steps to upload codes to the Serial to Ethernet board:

1. Push the boot switch from normal mode to the boot mode.

2. Open the serial port using ISP tool software.

3. Once “serial open complete” is displayed, upload the ‘os.mbed’ compiled code.

4. Push the boot switch back to the normal position and reset the wiz board.

5. The data received by the board can be monitored using “COOLTERM”.

Receiving Side

– Circuit Connection

Step 1: Connect three servo motors to the NodeMCU.

Step 2: Position the servo motors according to the picture below.

Step 3: Upload the code to NodeMCU (ESP8266) via PC.

Step 4: Check the output on the Serial Monitors.

 

– Code for Receiving Side:

Steps to upload the code into NodeMCU:

  • Connect the NodeMCU (ESP8266) to the PC.
  • Select the correct COM port from Tools->Port.
  • Add the needed libraries to the Arduino compiler. (Refer 1.1)
  • Select NodeMCU (ESP8266) from Tools->Boards.
  • Compile and upload the code.

Future Enhancements

We aim at reducing the latency time and developing a client-side monitoring application as further improvements to make the project implementable in a versatile range of industries.

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