Vein Detection System Using OpenCV with Patient Database System
Dhanamjayulu C1, Shubhangi Mittal2, Biswamoy Pattnaik3, Sreya Dey4, Maanik Marathe5, Ashutosh Joshi6, Arun Kumar G7
1Dhanamjayulu C, Department of Electrical & Electronics Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
2Shubhangi Mittal, Department of Electronic and Information Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
3Biswamoy Pattnaik, Department of Electronic and Information Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
4Sreya Dey, Department of Electronic and Information Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
5Maanik Marathe, Department of Electronic and Information Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
6Ashutosh Joshi, Department of Electronic and Information Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
7Arun Kumar G, Department of Electrical & Electronics Engineering, Vellore Institute of Technology, Vellore (Tamil Nadu), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1485-1488 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3945048619/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Non-invasive vein detection for intravenous (IV) procedurescan be carried out using infrared (IR) raysfor the purpose of illuminating a region, and then using an infrared camera for observing it. The image is processed using different techniques on the OpenCV software platform. We further propose the creation of a centralized database system for the management of patient data, which will securely store the previously captured images of the patient’s venous system for the healthcare professional’s records, thereby increasing the staff productivity and patient satisfaction as well as bettering overall clinical workflow.
Keyword: Infrared Camera, Noninvasive Vein Detection, OpenCV, Patient Database Management System.
Scope of the Article: Database Theory and Application