Low-cost and sustainable Pick and Place solution by machine vision assistance
E Kee, CJ Jie, CZ Jie, M Lau - 2022 25th International …, 2022 - ieeexplore.ieee.org
As one of the core applications of computer vision, object detection has become more
important in scenarios requiring high accuracy, but limited computational resources, such as …
important in scenarios requiring high accuracy, but limited computational resources, such as …
EyeRis: Visual Image Recognition using Machine Learning for the Visually-Impaired
AM Eugenio, MJ Patulot, LJ Seguiro… - 2023 International …, 2023 - ieeexplore.ieee.org
Visually impaired people struggle daily and have difficulty recognizing and distinguishing
objects around them. Thus, they mainly depend on supervision from other people to assist …
objects around them. Thus, they mainly depend on supervision from other people to assist …
Smart Image Recognition System for The Visually Impaired People
G Khekare - 2023 International Conference on Energy …, 2023 - ieeexplore.ieee.org
The inclusion of people with specifics in society has become a big challenge. Vision is
extremely relevant in the relationship with objects, space, and others, and their absence can …
extremely relevant in the relationship with objects, space, and others, and their absence can …
Classification and Detection of Brain Tumors in MRI Images Using Machine Learning Techniques
This research focused on utilizing machine learning techniques to detect and classify for the
identification of brain tumors in magnetic resonance images (MRI). The research aimed to …
identification of brain tumors in magnetic resonance images (MRI). The research aimed to …
[PDF][PDF] Object Detection App Using Machine Learning
M Gudadhe, G Ghosh, S Pande, V Joshi, V Bopche - ijaem.net
Human activities can be monitored in public places such as buses, railways, roads, banks,
etc., to obviate malefaction through visual surveillance. Public spaces are perpetually being …
etc., to obviate malefaction through visual surveillance. Public spaces are perpetually being …