A Novel Marker Detection System for People with Visual Impairment Using the Improved Tiny-YOLOv3 Model.

BACKGROUND AND OBJECTIVE: Daily activities such as shopping and navigating indoors are challenging problems for people with visual impairment. Researchers tried to find different solutions to help people with visual impairment navigate indoors and outdoors. METHODS: We applied deep learning to help visually impaired people navigate indoors using markers. We propose a system to help them detect markers and navigate indoors using an improved Tiny-YOLOv3 model. A dataset was created by collecting marker images from recorded videos and augmenting them using image processing techniques such as rotation transformation, brightness, and blur processing. After training and validating this model, the performance was tested on a testing dataset and on real videos. RESULTS: The contributions of this paper are: (1) We developed a navigation system to help people with visual impairment navigate indoors using markers; (2) We implemented and tested a deep learning model to detect Aruco markers in different challenging situations using Tiny-YOLOv3; (3) We implemented and compared several modified versions of the original model to improve detection accuracy. The modified Tiny-YOLOv3 model achieved an accuracy of 99.31% in challenging conditions and the original model achieved an accuracy of 96.11 %. CONCLUSION: The training and testing results show that the improved Tiny-YOLOv3 models are superior to the original model.

HIV/AIDS-related stigma and discrimination among health care workers at Tanta University Hospitals, Egypt.

HIV/AIDS-related stigma and discrimination among health care professionals is one of the most important factors of this disease expansion. This study aimed to assess the stigmatized attitude among health care providers toward people living with HIV (PLHIV) at Tanta University Hospitals. The study is a cross-sectional survey. Data was gathered from randomly selected 310 health care workers at Tanta University Hospital using a structured questionnaire. Among studied participants, only 24.0 % had previous contact with HIV patients during work and 21.3 % felt worried to touch cloths of HIV patients, 26.4 % were worried to dress the wounds of HIV patients and 27.4 % were afraid to get blood sample from HIV patients. Those who were unwilling to care for HIV patients represented 40 % and only 36 % reported that if discriminating against HIV patients, they may get in trouble. Less than one half (42 %) reported having enough supply for reducing risk of nosocomial infection with HIV and 86 % reported having no guidelines to deal with HIV patients. Out of the participants, 78.7 % reported that HIV patients should be ashamed of themselves. Among the participants, 35, 48, and 43 % preferred not to provide medical services to injecting drug users, men having sex with men and sex workers suspected to have HIV infection, respectively. Infection control is defective in the supplies and procedures. There is absence of policy and protocols with regard to dealing with PLHIV. Health care providers showed high levels of stigma and discrimination against PLHIV.