Deep earning?Facial recognitionFacial recognition is a fast-growing area used widely in identity verification, monitoring, and access control systems. High recognition rate and less training time are key factors in facial recognition problem. In our paper, we have compared artificial neural network (...
Deep learning techniques have proven to be effective in solving the facial emotion recognition (FER) problem. However, it demands a significant amount of supervision data which is often unavailable due to privacy and ethical concerns. In this paper, we p
including government and diplomacy buildings; borders and customs areas; travel nodes such as air and sea ports, just to name a few. Also, law enforcement personnel will find a more efficient way to investigate incidents with advanced footage retrieval using recognition capabilities and vehicle traits...
Security systems face growing challenges as users require higher accuracy and efficiency. This is why Hikvision pioneers in automated face detection and recognition.
Two-Factor Authentication (2FA):The Japanese government uses facial recognition to enhance computer login security. Smart Retail and Hospitality:Large hotel chain implements self-service check-in using facial recognition. If you want to learn more about application cases, feel free to read aboutthe ...
In this paper, we have proposed a deep learning-based framework using transfer learning for facial expression. This approach uses the existing VGG16 model for a modified trained model and concatenates additional layers on it. VGG16 model is already trained on ImageNet, which has 1000 classes. ...
In this paper, we have presented a novel approach for facial expression recognition using deep sparse autoencoders (DSAE), which can automatically distinguish the expressions with high accuracy. Both the facial geometric and appearance features have been introduced to compose a high-dimensional feature...
Deep learning techniques can use public data such as facial photographs to predict sensitive personal information, but little is known about what information contributes to the predictive success of these techniques. This lack of knowledge limits both the public’s ability to protect against revealing ...
A performance comparison between deep learning network and haar cascade on an IoT device International Conference on Sensing and Instrumentation in IoT Era (ISSI) (2019) Google Scholar [14] Indrasom Gangopadhyay, Anulekha Chatterjee, Indrajit Das face detection and recognition using Haar classifier ...
Facial recognition is an artificial intelligence-based technology that, like many other forms of artificial intelligence, suffers from an accuracy deficit.