Jayakody, AEdirisinghe, E. A. G. ALokuliyana, S2022-03-312022-03-312021-04-06https://rda.sliit.lk/handle/123456789/1812The Hemoglobin concentration in human blood is an important substance to health condition determination. With the results which are obtained from Hemoglobin test, a condition which is called as Anemia (a low level of Hemoglobin) can be revealed. Traditionally the Hemoglobin test is done using blood samples which are taken using needles. The non-invasive Hemoglobin level detection system, discussed in this paper, describes a better idea about the hemoglobin concentration in the human blood. The images of the fingertip of the different hemoglobin level patients which is taken using a camera is used to develop the neural network-based algorithm. The pre-mentioned algorithm is used in the developed non-invasive device to display the Hemoglobin level. Before doing the above procedure, an account is created in the mobile app and a questionnaire is given to answer by the patient. Finally, both the results which are obtained from the mobile app and the device are run through a machine learning algorithm to get the final output. According to the final result patient would be able to detect anemia at an early stage.enHemoSmartNon-Invasive DeviceMobile AppAnemia DetectionBook chapterhttps://doi.org/10.1002/9781119711308.ch3