InECCE2019 pp 77-85 | Cite as

Infrared Thermal Sensor for a Low Cost and Non-invasive Detection of Skin Cancer

  • A. Noora Safrin
  • B. Pooja
  • K. Hema
  • P. Padmapriya
  • Vigneswaran NarayanamurthyEmail author
  • Fahmi Samsuri
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 632)


Skin cancer is in a rising trend over the years. Though there are of many conventional approaches for skin cancer diagnosis, there is still a massive demand for the device with features of low cost, compact, portable, less diagnosis time, comfortable (no biopsy), high sensitivity and accuracy. The proposed system is the implementation of infrared (IR) thermal sensor in a non-contact manner which detects the temperature of the epidermal layer of skin, where the temperature of the skin varies for the subjects if they have cancer. The device receives the signal from the sensor unit, and it is further processed to detect the various level of skin cancer. The system process optimization was performed, and optimization factors were reported based on the sensor operating distance to detect the values efficiently. From the analysis, it was observed that there’s a 2.4 °C temperature difference for the thermometer and infrared thermal sensor reading. Also, the thermometer reading was greater by 2.4 °C comparing to the sensor values. This is attributed to the emissivity nature of the heated objects to the ambiance. This system can also be used as a wearable device by alerting the subject of their condition. This system provides better monitoring with high accuracy through non-invasive technique and early detection can be made to prevent cancer deaths.


Infrared thermal sensor Skin cancer Diagnosis Non-invasive Temperature variation analysis (TVA) 



With gratitude, we thank Dr. P. Thirumaran, Professor, dermatology department in Kilpauk Medical College, Chennai India for providing us clinical guidance in the hospital. We owe our deep gratitude to Dr. Rathy, a dermatologist in St. Isabel’s Hospital, Mylapore, Chennai, India who provided great support for this project. Support provided by the faculty and staffs of BME Dept. Veltechmultitech is thankfully acknowledged. PDF scholarship conferred to VN by University Malaysia Pahang is gratefully acknowledged. Fundamental Research Grant Scheme (FRGS—RDU190108) from Ministry of Education, Malaysia is thankfully acknowledged.


  1. 1.
    Kanavy HE, Gerstenblith MR (2011) Ultraviolet radiation and melanoma. In: Seminars in cutaneous medicine and surgery, pp 222–228Google Scholar
  2. 2.
    Saraiya M, Glanz K, Briss PA, Nichols P, White C, Das D, Smith SJ, Tannor B, Hutchinson AB, Wilson KM (2004) Interventions to prevent skin cancer by reducing exposure to ultraviolet radiation: a systematic review. Am J Prev Med 27:422–466Google Scholar
  3. 3.
    Bichakjian CK, Halpern AC, Johnson TM, Hood AF, Grichnik JM, Swetter SM, Tsao H, Barbosa VH, Chuang T-Y, Duvic M (2011) Guidelines of care for the management of primary cutaneous melanoma. J Am Acad Dermatol 65:1032–1047CrossRefGoogle Scholar
  4. 4.
    Gallagher RP, Lee TK, Bajdik CD, Borugian M (2010) Ultraviolet radiation. Chronic Dis Inj Can 29Google Scholar
  5. 5.
    Lomas A, Leonardi-Bee J, Bath-Hextall F (2012) A systematic review of worldwide incidence of nonmelanoma skin cancer. Br J Dermatol 166:1069–1080CrossRefGoogle Scholar
  6. 6.
    Simões M, Sousa J, Pais A (2015) Skin cancer and new treatment perspectives: a review. Cancer Lett 357:8–42CrossRefGoogle Scholar
  7. 7.
    Parsons SK, Chan JA, Winifred WY, Obadan N, Ratichek SJ, Lee J, Sen S, Ip S (2011) Noninvasive diagnostic techniques for the detection of skin cancersGoogle Scholar
  8. 8.
    Ray PP, Dash D, De D (2017) A systematic review of wearable systems for cancer detection: current state and challenges. J Med Syst 41:180CrossRefGoogle Scholar
  9. 9.
    Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, Thrun S (2017) Dermatologist-level classification of skin cancer with deep neural networks. Nature 542:115CrossRefGoogle Scholar
  10. 10.
    Narayanamurthy V, Padmapriya P, Noorasafrin A, Pooja B, Hema K, Nithyakalyani K, Samsuri F (2018) Skin cancer detection using non-invasive techniques. RSC Adv 8:28095–28130CrossRefGoogle Scholar
  11. 11.
    Rajab M, Woolfson M, Morgan S (2004) Application of region-based segmentation and neural network edge detection to skin lesions. Comput Med Imaging Graph 28:61–68CrossRefGoogle Scholar
  12. 12.
    Masood A, Al-Jumaily AA (2013) Computer aided diagnostic support system for skin cancer: a review of techniques and algorithms. Int J Biomed Imaging 2013Google Scholar
  13. 13.
    Herman C, Cetingul MP (2011) Quantitative visualization and detection of skin cancer using dynamic thermal imaging. J Vis Exp: JoVEGoogle Scholar
  14. 14.
    Diakides M, Bronzino JD, Peterson DR (2012) Medical infrared imaging: principles and practices. CRC PressGoogle Scholar
  15. 15.
    Vollmer M, Klaus-Peter M (2017) Infrared thermal imaging: fundamentals, research and applications. WileyGoogle Scholar
  16. 16.
    Nummenmaa L, Glerean E, Hari R, Hietanen JK (2014) Bodily maps of emotions. Proc Natl Acad Sci 111:646–651CrossRefGoogle Scholar
  17. 17.
    Togawa T (1989) Non-contact skin emissivity: measurement from reflectance using step change in ambient radiation temperature. Clin Phys Physiol Meas 10:39CrossRefGoogle Scholar
  18. 18.
    Macleod J (1951) Effect of chickenpox and of pneumonia on semen quality. Fertil Steril 2:523–533CrossRefGoogle Scholar
  19. 19.
    Moustafa AMN, Muhammed HH, Hassan M (2013) Skin cancer detection using temperature variation analysis. Engineering 5:18CrossRefGoogle Scholar
  20. 20.
    Vrocher D (2004) Emergency medicine: a comprehensive study guide. Ann Emerg Med 44:675–676CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Biomedical EngineeringVeltech Multitech Dr. RR and Dr. SR Engineering CollegeChennaiIndia
  2. 2.Faculty of Electrical and Electronic Engineering TechnologyUniversiti Teknikal Malaysia MelakaMelakaMalaysia
  3. 3.Faculty of Electrical and Electronics EngineeringUniversity Malaysia PahangPekanMalaysia

Personalised recommendations