Artificial intelligence projects in java with source code
Disturbing current trends regarding school shootings motivated the inclusion of emotion recognition so that teachers are able to better monitor students’ emotional states over time. The goal is to provide a tool that reduces the time teachers spend taking attendance while also collecting data that improves teaching practices.
ARTIFICIAL INTELLIGENCE PROJECTS IN JAVA WITH SOURCE CODE SOFTWARE
This paper presents facial detection and emotion analysis software developed by and for secondary students and teachers.
From the experimental analysis, it is observed that the YOLO with Deepsort tracking scheme displayed best results with balanced criteria to monitor the social distancing in real-time. The proposed framework utilizes the YOLO object detection model to segregate humans from the background and to track the identified people with the help of bounding boxes The violation index term is proposed to quantize the non adoption of social distancing protocol. Motivated by this notion, this article proposes a deep learning based framework for automating the task of monitoring social distancing using surveillance video.
Since there are no vaccines available, social distancing is the only feasible approach to fight against this pandemic. The absence of any active therapeutic agents and the lack of immunity against COVID19 increases the vulnerability of the population. The rampant coronavirus disease 2019 (COVID-19) has brought global crisis with its deadly spread to more than 180 countries, and about 3,519,901 confirmed cases along with 247,630 deaths globally as on May 4, 2020.