Results 31 to 40 of about 1,466 (208)
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
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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
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Design and Development of Student Attention System using Face Recognition Based on MTCNN and FaceNet
Jurnal Jaringan Telekomunikasi, 2023 Employees use their level of attendance or absence to demonstrate their presence at work or absence from it in an agency. This absence is connected to how discipline is applied, which is decided by each organization or institution.
Moch. Maulana Andhika Candra +2 more
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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
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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
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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
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Fatigue Driving Detection Algorithm Based on Deep Learning [PDF]
Jisuanji gongcheng, 2020 To realize identification and warning of fatigue driving detection in complex driving environment,this paper proposes an algorithm for fatigue driving detection based on deep learning.
ZHENG Weicheng, LI Xuewei, LIU Hongzhe, DAI Songyin
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Real TimeDetection and Tracking Method of Pilot’sHeadPositionBased on MTCNN-DeepSORT
Journal of Physics: Conference Series, 2020 Abstract In view of the problems of the traditional head detection and tracking technology in pilot cabin simulation training, such as low precision, poor real-time performance and easy to be interfered by the outside world, we propose a head detection and tracking method based on MTCNN-DeepSORT combined with deep learning method ...
Limin Zhang +3 more
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CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 514-528, April 2026.ABSTRACT Analysing learners' facial expressions during learning and exploring their learning processes and emotional changes are of great significance for assisting teachers' teaching and promoting smart education. In complex learning environments, static facial expression recognition fails to capture the dynamic changes of learners' expressions losing
Wei Liu +6 more
wiley +1 more source
Malaysian Journal of Computer ScienceFacial feature extraction is a fundamental step in various computer vision tasks, including face recognition, emotion detection, and personality traits recognition.
Nurrul Akma Mahamad Amin (Corresponding Author) +2 more
semanticscholar +1 more source