Hand held Dermal Scanner

S Saravana Prakash; P. Abinaya; Lsuganthi

doi:https://doi.org/10.51976/ijari.441603

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Hand held Dermal Scanner

S Saravana Prakash, P. Abinaya, Lsuganthi

Vol 4 , Issue 4 , October - December 2016 | Pages: 10-14 | Research Paper

https://doi.org/10.51976/ijari.441603

Received: October 20, 2016 | Revised: November 10, 2016 | Accepted: November 28, 2016 | Published Online: December 15, 2016

Author Details ( * ) denotes Corresponding author

1. S Saravana Prakash, Department of Biomedical Engineering, SSN College of Engineering, Chennai, Tamil Nadu, India (saravanaprakash.s.s@ieee.org)

2. P. Abinaya, Department of Biomedical Engineering, SSN College of Engineering, Chennai, Tamil Nadu, India (abi.anju.aji@gmail.com)

3. Lsuganthi Department of Biomedical Engineering, SSN College of Engineering, Chennai, Tamil Nadu, India (suganthil@ssn.edu.in)

Dermatology is a branch of science dealing with the studies of skin, hair, nails etc. Nowadays skin disorders are more severe and many new disorders are emerging rapidly. Many devices are used for diagnostic as well as therapeutic applications. In this paper, we proposed a diagnostic device which is used to capture the images of affected skin surface through raspberry pi controller module with camera and display the image in LCD screen. The SD card is connected with module is used to store images for further analysis. Real time recording of the images can be obtained, viewed and stored for further analysis. The acquired images can be sent to a dermatologist who is far away from the recording site. Hence Tele-dermatology is possible using this proposed device; both online as well as off line diagnosis can be empowered. The device is easily operated which does not require any specific technical skill to operate. Hence frequent self-examination for the patient with chronic skin disorder is possible with low cost. Thereby diagnosis, treatment, examination, continuous self-monitoring of skin conditions are possible using this proposed work.

Keywords

Raspberry PI; Skin Disorders; Camera; Real Time Imaging Technique

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