Humans have to climb very high altitudesfor the inspection of megacivil structures like bridges, concrete buildings and dams.This type of inspection process is very dangerous and requires sophisticated safety equipment. Therefore, it becomes very essential to perform this inspection without human in
Wall climbing robot for wall surface crack detection
Humans have to climb very high altitudesfor the inspection of megacivil structures like bridges, concrete buildings and dams.This type of inspection process is very dangerous and requires sophisticated safety equipment. Therefore, it becomes very essential to perform this inspection without human involvement using modern technologies. The focusof this project is to design and develop a wall climbing robot for crack detection.The robot will inspect the structure with the help of a camera mounted on its body. The robot will detect the cracks, take pictures and send them to a remote host for further processing. For the adhesionof the robot to the wall surface, a general purpose vacuum suction based mechanism by high speed fan will be adapted.Once the images are collected, crack detection can be achieved using various image processing techniques. The main components of the project will involve DC motors, motor drivers, Bluetooth module, camera, IR sensors and Arduino microcontroller. Humans have to climb very high altitudesfor the inspection of megacivil structures like bridges, concrete buildings and dams.This type of inspection process is very dangerous and requires sophisticated safety equipment. Therefore, it becomes very essential to perform this inspection without human involvement using modern technologies. The focusof this project is to design and develop a wall climbing robot for crack detection.The robot will inspect the structure with the help of a camera mounted on its body. The robot will detect the cracks, take pictures and send them to a remote host for further processing. For the adhesionof the robot to the wall surface, a general purpose vacuum suction based mechanism by high speed fan will be adapted.Once the images are collected, crack detection can be achieved using various image processing techniques. The main components of the project will involve DC motors, motor drivers, Bluetooth module, camera, IR sensors and Arduino microcontroller.
The primary objective of this project is to make wall climbing robot.
The Secondary objective is to determine surface cracks on the building structures, bridges, tunnels and dams.
Make a proto type of the wall climbing robot which can detect cracks.
Body designing of the robot.
Make a vacuum creating compartment for adhesive mechanics.
Selection of Controller on the base of use.
Wireless link section (Tx/Rx).
Selection of camera on the base of use.
Coding in C++.
Image Processing.
Techniques available.
Magnetic Adhesion Mechanism:
For metal (ferrous) surfaces.
Vacuum Suction Mechanism by Suction cups: For Glass surfaces.
Vacuum mechanism by high speed fan: For all surfaces.
For the adhesion of the robot, a general purpose vacuum based mechanism by high speed fan has be adapted.
The robot can climb on obstacles.
To create adhesion we have to create vacuum for this purpose we are using EDF with BLDC motor.
For movement we are using DC motors.
To control the direction i.e. forward, backward, left and right we are using motor driver L298N along with the Arduino micro-controller.
The direction of motors can be controlled through mobile application through Bluetooth module.
Limitations:
There are following limitations in the design:
The robot can be used only for 5-6 minutes due to weight we have to use battery of less storage. As we increase the storage capacity of the battery the weight increases thus the robot can not climb the wall.
The robot can be operate in the range of the Bluetooth/Wifi.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| 70mm EDF with 3000Kv BLDC motor | Equipment | 1 | 4500 | 4500 |
| ESC 60-A | Equipment | 1 | 4000 | 4000 |
| 4s Lipo Battery | Equipment | 1 | 3150 | 3150 |
| ESP-32 CAM | Equipment | 1 | 1250 | 1250 |
| Arduino UNO | Equipment | 1 | 800 | 800 |
| Bluetooth HC-05 | Equipment | 1 | 55 | 55 |
| Dc Gear motors | Equipment | 4 | 200 | 800 |
| L298N motor driver | Equipment | 1 | 300 | 300 |
| Total in (Rs) | 14855 |
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