Face Detection Based on Receptive Field Enhanced Multi-Task Cascaded Convolutional Neural Networks
IEEE Access, 2020 With the continuous development of deep learning, face detection methods have made the greatest progress. For real-time detection, cascade CNN based on the lightweight model is still the dominant structure that predicts face in a coarse-to-fine manner ...
Xiaochao Li, Zhenjie Yang, Hongwei Wu
doaj +1 more source
FACIAL DETECTION IN COMPUTER VISION: BRIDGING GAP BETWEEN CNN, HAAR CASCADE AND MTCNN [PDF]
Proceedings on Engineering SciencesFace detection is a crucial task in various applications, including face recognition, facial expression analysis, face tracking, and head-pose estimation, spanning fields such as transport, health, and education.
Nipun Singhal +2 more
doaj +1 more source
Low-power edge AI face detection and tracking system based on improved MTCNN algorithm
Dianzi Jishu Yingyong, 2021 The rapid development of edge devices and the application of deep learning are increasing, the trend of combining the two is becoming more and more obvious. The potential of AI applications for low-power edge devices has not yet been fully developed.
Qi Xingchen, Zhuo Xusheng
doaj +1 more source
IMPLEMENTATION OF FACE RECOGNITION ATTENDANCE SYSTEM FOR PT. SUMBER KURNIA ALAM WITH MTCNN AND FACENET ALGORITHM [PDF]
, 2023 Attendance taking is an essential and recurring task in many organizations. Traditionally, ttendance is recorded manually using pen and paper, which can be time-consuming, prone to erros, and inefficient.
THE, VICTOR
core +1 more source
Fatigue Driving Detection Method Based on Edge Computing [PDF]
Jisuanji gongcheng, 2021 Most of the existing fatigue driving detection methods require the collected driving data to be sent to the cloud for analysis.However,the real-time performance of the methods is often affected by the network coverage,response speed and other factors as ...
LOU Ping, YANG Xin, HU Jiwei, XIAO Zheng, YAN Junwei
doaj +1 more source
Integración y evaluación de sistemas de reidentificación de caras usando MTCNN y FaceNet en C++ [PDF]
, 2019 En la actualidad el reconocimiento facial ha cobrado gran importancia debido a las múltiples aplicaciones con las que se le vincula. En este proyecto, junto con la empresa 4i, se ha abordado el problema de conocer si un individuo ha estado en un centro ...
Cordobés Menguiano, Ana Belén
core +1 more source
Design and implementation of face attribute recognition system
Dianzi Jishu Yingyong, 2021 At present, accurate face recognition has been widely used in real scenes, such as monitoring, access control, etc., and recognition only for face attributes is also widely used in entertainment, security and social media.
Wang Gaosheng
doaj +1 more source
Automated Real Time Detection of Suspicious Appearances Using Deep Learning
Havacılık ve Uzay Teknolojileri Dergisi, 2021 Security camera systems especially in public areas such as airports, courthouses or sports facilities etc. are used to find fugitive persons or detect suspicious behaviors manually under the monitoring of an operator.
Melek Tursun, Ömer Çetin
doaj
Sensors, 2023 The amount of road accidents caused by driver drowsiness is one of the world’s major challenges. These accidents lead to numerous fatal and non-fatal injuries which impose substantial financial strain on individuals and governments every year.
Jaspreet Singh Bajaj +5 more
doaj +1 more source
Enhanced Face Detection Using Multi-Cascade Face Detection and Deep Ladder Neural Network [PDF]
EPJ Web of ConferencesFor robust face recognition, A novel hybrid approach is present in this paper. This hybrid system is a combination of Multi-task Cascaded Convolutional Neural Networks (MTCNN). This combined system use Deep Ladder Imputation Networks (DLIN).
Pande Anshul, Voditel Priti
doaj +1 more source