Smart Coveyor Belt -- by Agraj Khare, Palaash Agarwal, Abhishek Kumar & Sai Harjun R. (Group-14)


Introduction:

Conveyor belts have been an integral part of the manufacturing industry, with the next industry revolution right around the corner (The Industry 4.0), we require a smarter way to use these conveyer belts. To make the conveyor belts smarter we have incorporated the concepts of conveyor belt and sorting with the likes of modern-day technologies such as Computer Vision and Wireless Communication.


Motivation:

In order to develop such smart conveyor belts, we four undergraduate students from IIIT, Sri City came up with a system architecture. We picked up the common instrumentation problem of indexing and sorting, and tried to create a smart system which not only identifies the quality of product but also eliminates the substandard product from the conveyor.
   

Methodology:

At the beginning of the conveyor we have attached a camera which takes a photo of the product (in this case a matchstick). After taking the photo, the Computer Vision algorithm does the quality assessment, with phosphorus level as the quality metric. The algorithm also identifies each product with a unique ID. In case the quality of product is below a certain threshold, the CV unit in a wireless manner communicates a message to the magnetic plunger on the other end to terminate the product with ‘xyz’ ID. Please refer the flow chart below to understand the process better. 



Challenges:

  1.    In the computer vision part, the light that is falling on the conveyor belt, where the photo is being taken, should be same at all the times else there can be multiple number of contours or the area of the phosphorus may not be detected accurately.
  2. The synchronization between the transmitted message and the plunger reaction is a challenge in itself.


Future Scope:

We can modify the computer vision algorithm to measure the exact amount of phosphorus present on the matchstick. The algorithm can be made more efficient to reduce the response time and decrease the production time.
Instead of just limiting our scope to smaller objects, we can also aim for a variety of objects with different metrics of measurement (e.g. – Weight, height or batch number).

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