Went into the University for the first time

I went into the university for the first time today. It is less than a kilometer from the apartment. I had to go there to finalize certain documents regarding my accomodation. I arrived at the university during the lunch time and hence I had to wait for a couple of hours for the office staffs to return. During the time, I roamed around the campus. The place is aesthetically pleasing, however, it is pretty small, especially since where I did my bachelor's, IIT Patna, had a campus spread across over 500 acres. I also went to the nearby Lidl to get a few frozen pizzas. I had that for lunch, evening snack and dinner. I had thought about cooking something for dinner, but I felt a bit lazy to do the same. However, I did modify the last frozen pizza by adding some mushrooms, pizza sauce and pepper. I think this could be a good trick moving forward - buy a few frozen pizzas and chopped vegetables from Lidl and fuse them. I think this would make the pizzas a bit more healthier and the effor

Smart Containers - An old project during my college days that could make Amazon better

A few months ago, my friend Dhawal shared a page from Amazon Business introducing their product named Dash Smart Shelf. The system enables businesses to manager their inventories by keeping a track of stuffs in the shelves over time and automatically doing the reordering. The principle behind the product is to have a weight-sensing Wi-Fi-enabled smart scale that is placed on a shelf to track the inventory.

The method involved is reasonably simple. A shop owner can have as many of these devices as the different products he/she wishes to store. That would be a lot of sensors.

Dhawal and I had worked on a project that would enable reducing the number of sensors involved in order to do the same. In our setup, there would be just two weight sensors placed at a distance and a platform on top of the sensors. We divide the platform into any number and we can determine where each product is placed and if anything is taken away from it, it would automatically change the values. This could theoretically work for any number of slots there are; just two weight sensors.

That would be a huge reduction in cost, wouldn't it?

We developed this system back in 2017. We had recorded a video talking about this in detail to take part in a compoetition. The following was recorded for that. In the video we explain in detail on how the setup was created, the working principle and gives a quick demo. (I know that the app crashed when we were shooting the video).


The video was recorded from the Hardware Lab in IIT Patna. We had to rush the creation of the video as the deadline for submission was right around the clock.

The app was created in React Native. The assembly has four load cells in a Wheatstone Bridge arrangement for more accurate detection, two such arrangements are made at either ends. The voltage variations from the load cells are picked up by Arduino and the information is interpreted there to know which slot has what weight. The final information is sent to Raspberry Pi, which acts as the server and provides the data to the React Native App through Rest API based calls.

Such simple concepts in physics and engineering could help in cutting down a lot of expenditure. I hope this inspires a lot of people.

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