Automated Guided Vehicle for Industry 4.0
All deliveries set in the project proposal have been successfully met. The founder originally intended the AGV to be a very fast car. Although it could follow the lines at high speed, it was sometimes wrong at intersections. Although the AGV was supposed to slow down, it was still much faster than A
2025-06-28 16:25:13 - Adil Khan
Automated Guided Vehicle for Industry 4.0
Project Area of Specialization Artificial IntelligenceProject SummaryAll deliveries set in the project proposal have been successfully met. The founder originally intended the AGV to be a very fast car. Although it could follow the lines at high speed, it was sometimes wrong at intersections. Although the AGV was supposed to slow down, it was still much faster than ASRS, which met the specifications. The forklift machine was not built when the platform was designed and assembled, and the original concept of the forklift failed. The limited amount of space prevented the following forklift ideas, as well as the various designs that were separated before the final version was built. However, the forklift came out very well and the wait was worth it. The main area for improvement is in the warehouse. Although it took 40 hours to build and cost seventy dollars, there were natural flaws. First, the soil was not quite smooth. The panel was used on the AGV side while plywood was used on the ASRS side. The surface of the plywood did not have sand on the ground, and it was very hard. This included ASRS while driving and provided a negative signal to the linear sensor. Another problem with the warehouse was the heated shelves. The ASRS had a 13-inch-high fork, so there was not much space left for the pallets. Thick wooden shelves would greatly reduce the openness of each shelf, so a half-inch [2 cm] plank was used instead. Although this problem is not solved in software, metal shelves would have made things easier. The AGV construction project went well. The most frustrating issues are based on Microchip's MPLAB compiler. The project designer was very proficient in the C language and had to make changes to his coding techniques in order to address inequalities in the compiler. While none of these problems were detrimental or prevented something from finally working, many weekends were wasted on "something stupid" I recommend future students enrolled at the Intelligent Machine Design Laboratory to talk to someone who has used their compiler. They can save people enough time by imparting wise words. There are many areas for improvement in this project. The Sliding Window Automatic Request slide may be used to reduce RF transmission errors. Both of these robots can continue to send a blank packet of data to each other, which will allow the robots to know that they are out of range. Most importantly, it will allow them to see how many mistakes they are experiencing, and they can strongly adapt to them. Multi-shelf storage will allow the display to be meaningful. The flow method can be used to create multiple AGVs across ASRS. Delivery belts can enter and exit the warehouse and notify vehicles if there is a component. A simple upgrade would be to install the RF link on your computer and install the remote with click software.
Project ObjectivesOur objective is to design and develop an AGV with an onboard fork lifter that will be able to move autonomously, pick up the boxes and carry them to the specified location. The AGV should identify the environment using the onboard camera and sensors and navigate itself without any human intervention. Using a cheap camera to detect the work environment on an autonomous fork lifter is a new application of Image Processing. The AGV should be able to avoid any obstacle coming in its path autonomously by detecting the object using onboard sensors.
Project Implementation MethodHaving the proper instruments for your venture is critical and contributing to reliable, high-quality tools is the most perfect way to urge started on your journey. In this heading, we are going to discuss some main apparatuses requires for hardware building. This can be one of the foremost important repair tools for drones. A soldering iron can be utilized to associate all the electronic pieces in a drone together. For case, it can moreover be utilized to reconnect associations that will have detached from a crash or other damage. These are utilized for the screws that keep the drone together, for the most part, smaller-sized screwdrivers are required, depending on the estimate of the drone. Security or leisure activity blades are utilized for cutting diverse components utilized in drones and are one of the foremost fundamental apparatuses in this catalog. These are utilized for grasping components in little or hard-to-reach regions inside the drone Plier is competent in getting a handle on and holding wire less than 1mm thick with the quality and inflexibility for wire shaping. When building or keeping up a drone, the chances that you’ll cut a few wires are exceptionally high so making beyond and doubt simply have a high-quality apparatus for this task is exceptionally vital. Much the same as pliers, tweezers are great for moving components or little wires out of way. Longer-length tweezers make it simpler to get a little, hard-to-reach space. These are utilized to measure electronic current and are extraordinary for utilizing in drone support to test for shorted wires or circuitry when attempting to analyze harm to the drone
Benefits of the ProjectAll deliveries set in the project proposal have been successfully met. The founder originally intended the AGV to be a very fast car. Although it could follow the lines at high speed, it was sometimes wrong at intersections. Although the AGV was supposed to slow down, it was still much faster than ASRS, which met the specifications. The forklift machine was not built when the platform was designed and assembled, and the original concept of the forklift failed. The limited amount of space prevented the following forklift ideas, as well as the various designs that were separated before the final version was built. The final version is able to perform all the deliverables very well with great precision.
Technical Details of Final DeliverableOur project is based on machine learning and open-cv algorithms. The aim of our project is to provide a low-cost dermo-scope prototype and machine learning model so we have some hardware detail and software detail so we collect some hardware required components and connecting together and check whether it is operational or not. we use a camera module. Our camera is connecting with raspberry pi 4. It helps with real-time detection. Camera connected Raspberry Pi by using ribbon cable Raspberry pi 4
Final Deliverable of the Project HW/SW integrated systemCore Industry ManufacturingOther Industries IT Core Technology Artificial Intelligence(AI)Other Technologies RoboticsSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 79998 | |||
| Raspberry Pi 4 | Equipment | 1 | 18000 | 18000 |
| Webcam | Equipment | 1 | 10000 | 10000 |
| Tyres | Equipment | 2 | 2000 | 4000 |
| Gear Motors | Equipment | 3 | 1000 | 3000 |
| Motor Driver | Equipment | 3 | 2000 | 6000 |
| Arduino mega | Equipment | 1 | 8000 | 8000 |
| Ultrasonic Sensor | Equipment | 2 | 2000 | 4000 |
| Battery Pack | Equipment | 1 | 1999 | 1999 |
| Chassis | Equipment | 1 | 4000 | 4000 |
| Buck Converter | Equipment | 2 | 1000 | 2000 |
| Fork lifter Mechanism | Equipment | 1 | 8999 | 8999 |
| other | Miscellaneous | 1 | 10000 | 10000 |