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Medium screenshot from 2017 08 10 23 09 03

Vaibhav P. created project A visual aid glasses for visually impaired or blind people

Medium a011334b 5f3e 45cf bab0 e4e96ccfc210

A visual aid glasses for visually impaired or blind people

In the prototype version, I am proposing to include 3 main features for the user:

  1. What is in front of the user? This is probably the best feature of the glass as It will help them directly see what the glasses are seeing. This will be solved by any simple Image classification deep learning framework or some advanced versions of a classification framework using transfer learning just as in the paper, which I coauthored - the rice classification model using transfer learning.

  2. The direction of the things of which are in the way. The user can know from which direction a person or an animal is coming or where is a chair etc. This can be done using image segmentation. Which can be done using a pretty standard deep learning framework of image translation GANs.

  3. Image Captioning. Now, this feature is more advanced and may not be handled by the Neural Compute Stick. But, if I can incorporate this feature also in the glasses then the product will have a personal touch. This can be done by image captioning models using a mixture of CNN and RNN and can be improved using augmentation methods which I have proposed in the Image captioning project.

If this project gets funding then it would be a great thing for the visually impaireds.

Image source: https://www.google.co.in/url?sa=i&rct=j&q=&esrc=s&source=images&cd=&cad=rja&uact=8&ved=0ahUKEwjH-qXTwZPXAhVMK48KHTqNC3AQjRwIBw&url=https%3A%2F%2Fwww.trendhunter.com%2Ftrends%2Fnavigation-blind-sunglasses&psig=AOvVaw1OrqFx63CW0RPwSIqj244K&ust=1509286797322541 https://www.google.co.in/url?sa=i&rct=j&q=&esrc=s&source=images&cd=&cad=rja&uact=8&ved=0ahUKEwjck_K7wpPXAhXJsY8KHWKMBxYQjRwIBw&url=https%3A%2F%2Fdevblogs.nvidia.com%2Fparallelforall%2Fimage-segmentation-using-digits-5%2F&psig=AOvVaw1D2WBYTN-zczWSvfbsr1U9&ust=1509287028458170

https://www.google.co.in/url?sa=i&rct=j&q=&esrc=s&source=images&cd=&cad=rja&uact=8&ved=0ahUKEwiT4a60wpPXAhVKL48KHRnyCzAQjRwIBw&url=https%3A%2F%2Fpdollar.wordpress.com%2F2015%2F01%2F21%2Fimage-captioning%2F&psig=AOvVaw0WQdHSaIOkiODS43SOU2k5&ust=1509287013573282 (Just for reference)

Screenshot from 2017 08 10 23 09 03

Vaibhav P. added photos to project Plant Disease Claasification from leaves using CNN

Medium 32e95969 6e86 463a 9dcd 03cbdf75f3e2

Plant Disease Claasification from leaves using CNN

Many a time, farmers do not know which type of disease their crops has, to solve this
problem we are proposing a mobile application that can solve the issue. The farmer just has to
take an image of the crop and the image will be uploaded in the server. On the server side, we
will be using high performance computing GPUs to feed forward the image in a convolutional
neural network which is a popular deep learning network. The CNN model will be trained using
different crop disease images and will be able to classify the disease type. The farmer will be
notified the disease and from here, one can do further procedure to solve the disease.

Screenshot from 2017 08 10 23 09 03

Vaibhav P. added photos to project Plant Disease Claasification from leaves using CNN

Medium c52d0cca f55d 4922 8c83 3546ab01f30b

Plant Disease Claasification from leaves using CNN

Many a time, farmers do not know which type of disease their crops has, to solve this
problem we are proposing a mobile application that can solve the issue. The farmer just has to
take an image of the crop and the image will be uploaded in the server. On the server side, we
will be using high performance computing GPUs to feed forward the image in a convolutional
neural network which is a popular deep learning network. The CNN model will be trained using
different crop disease images and will be able to classify the disease type. The farmer will be
notified the disease and from here, one can do further procedure to solve the disease.

Screenshot from 2017 08 10 23 09 03

Vaibhav P. added photos to project Plant Disease Claasification from leaves using CNN

Medium 510a5cb2 6091 4470 a6a4 019b478d205b

Plant Disease Claasification from leaves using CNN

Many a time, farmers do not know which type of disease their crops has, to solve this
problem we are proposing a mobile application that can solve the issue. The farmer just has to
take an image of the crop and the image will be uploaded in the server. On the server side, we
will be using high performance computing GPUs to feed forward the image in a convolutional
neural network which is a popular deep learning network. The CNN model will be trained using
different crop disease images and will be able to classify the disease type. The farmer will be
notified the disease and from here, one can do further procedure to solve the disease.

Medium screenshot from 2017 08 10 23 09 03

Vaibhav P. created project Plant Disease Claasification from leaves using CNN

Medium 510a5cb2 6091 4470 a6a4 019b478d205b

Plant Disease Claasification from leaves using CNN

Many a time, farmers do not know which type of disease their crops has, to solve this problem we are proposing a mobile application that can solve the issue. The farmer just has to take an image of the crop and the image will be uploaded in the server. On the server side, we will be using high performance computing GPUs to feed forward the image in a convolutional neural network which is a popular deep learning network. The CNN model will be trained using different crop disease images and will be able to classify the disease type. The farmer will be notified the disease and from here, one can do further procedure to solve the disease.

Screenshot from 2017 08 10 23 09 03

Vaibhav P. added photos to project Tone Mapping HDR images using GANs

Medium e56f9a77 5991 411c ae2c 06e0c67d1217

Tone Mapping HDR images using GANs

Project Status - Open.
Purvik Shah and I are presently doing this project in our Summer Research Internship.
Even though there has been a lot of work on tone mapping an HDR image, there are no once and for all solution for it. Our model tries to optimize the loss function in a way that helps to hallucinate the Downsample and Upsample layers of the generator to make a better tone mapped image. We are trying for different loss functions that try to optimize the TMQI metric.

Mentor- Shanmuganathan Raman, Professor, IIT Gandhinagar

Screenshot from 2017 08 10 23 09 03

Vaibhav P. added photos to project Tone Mapping HDR images using GANs

Medium ee49f3ed a40e 4826 b80e 7fff0ea8b2b6

Tone Mapping HDR images using GANs

Project Status - Open.
Purvik Shah and I are presently doing this project in our Summer Research Internship.
Even though there has been a lot of work on tone mapping an HDR image, there are no once and for all solution for it. Our model tries to optimize the loss function in a way that helps to hallucinate the Downsample and Upsample layers of the generator to make a better tone mapped image. We are trying for different loss functions that try to optimize the TMQI metric.

Mentor- Shanmuganathan Raman, Professor, IIT Gandhinagar

Screenshot from 2017 08 10 23 09 03

Vaibhav P. added photos to project Tone Mapping HDR images using GANs

Medium 89d10476 0b98 4d40 817a 8a675948cfed

Tone Mapping HDR images using GANs

Project Status - Open.
Purvik Shah and I are presently doing this project in our Summer Research Internship.
Even though there has been a lot of work on tone mapping an HDR image, there are no once and for all solution for it. Our model tries to optimize the loss function in a way that helps to hallucinate the Downsample and Upsample layers of the generator to make a better tone mapped image. We are trying for different loss functions that try to optimize the TMQI metric.

Mentor- Shanmuganathan Raman, Professor, IIT Gandhinagar

Medium screenshot from 2017 08 10 23 09 03

Vaibhav P. created project Tone Mapping HDR images using GANs

Medium 89d10476 0b98 4d40 817a 8a675948cfed

Tone Mapping HDR images using GANs

Project Status - Open. Purvik Shah and I are presently doing this project in our Summer Research Internship. Even though there has been a lot of work on tone mapping an HDR image, there are no once and for all solution for it. Our model tries to optimize the loss function in a way that helps to hallucinate the Downsample and Upsample layers of the generator to make a better tone mapped image. We are trying for different loss functions that try to optimize the TMQI metric.

Mentor- Shanmuganathan Raman, Professor, IIT Gandhinagar

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