Smart Microscopic Computer Vision and Analytics -97

application logo
application interface
RBC detected
leaf detected
image taken by compound microscope
image taken by compound microscope
image taken by simple microscope
image taken by simple microscope
compound microscope setup
onion peel detected
ameoba detected
simple microscope setup
cell wall detected

Inspiration- Basically, when we are in schools and junior colleges, we had Biology subject even every one had it during schools so there was study of microbiology as major part even at present also. But during practical’s in laboratory, we only had one simple microscope and compound microscope for whole school because our schools can only afford it only. But do you know there are still lots of schools and colleges cannot afford microscopes till date. we are targeting to make the simple and compound microscopes very cost effective that every student can have their own microscope at home. it will help the students from rural area to study with the help of microscope. also, one of the most important problems that the in microscopes we can only observe the stain as students need books to know the labelling’s but as we have created an application which will able to detect the stain and also able to tell the labelling’s which makes it advance as our microscopes uses mobile camera so we can use application with microscope.

What it does- We have created a digital microscope consist of two types of magnification simple as well as compound for both we have created different hardware respectively. simple microscope is very handy that it can be detachable and we can simply use our mobile camera to see the stain which only cost around 300 Rs and compound microscope we created using web cam so that you can us it on laptops, desktop and mobile phones also which cost around 1k Rs. the main objective towards it is to make this technology used for every one as microscope available in markets are more that 2k of price hence it becomes difficult to some schools belonging to rural area to afford it and use also these system is that handy that an individual can have their personal microscope at home. also we provide an application which detects the stain and label the sub-parts in it such as cell wall , nucleus etc. so one can study it at real practical way. which will definitely ease the way of studying biology.

How we built it -

1.) Created a simple digital microscope using the lens from laser lights. 2.) Mounting this on basic structure of solid work to create a platform. 3.) Also we have converted Web Camera to act as Compound Microscope if we want to direct analyze the image on laptop or desktop. 4.) After completion of our physical model , we have worked on the image detection part. 5.) After that we have worked on “Makesense.ai ” / “ Jupyter Notebook ” / Tensorflow which provides platform access and creating a dataset which will help in Image detection process . 6.) We have used Python specifically ( matplotlib, Tenserflow, Yolov5 colab code ) for basic source code of image detection. 7.) Next we have tried to convert the whole source code into image detection application on Android Studio for our microscope .