# Real-Time Facial Emotion Recognition Framework for Employees of Organizations Using Raspberry-Pi
## 1 Introduction  
In today's context, video cameras can be easily accessed by everyone. These video cameras can be mobile-based cameras or other static cameras like surveillance cameras, smartphone cameras, Raspberry-Pi cameras, or laptops, etc. With the help of these cameras, it is easy to capture human faces from any location at any place. This kind of freedom has enabled the research community to implement these smart systems for understanding the behavior of humans in real-time. To understand the behavior of a human being, expression plays the most important role. Various surveys have already been done to understand different components that play major roles in understanding human emotions. The outcome of those surveys concluded that non-verbal components, facial expressions, play the mostimportant role during interpersonal communication [1]. Research in the field of emotive facial recognition has gathered attention in the last couple of decades, as the applications are not only limited to computer science but can be implemented in the field of affective computing, computer animation, cognitive science, and perceptual sciences etc. [2]. The major mode of exchanging feelings and emotions in daily life is facial expressions. Small facial gestures are strong enough to pass on the message to another person about one's feelings. Facial emotion is more important than verbal communication, as the emotions are an actual spontaneous reflection of a person's feelings. Lots of research is being carried out to develop such robots that are capable of understanding the facial emotions of human beings and could understand different moods of people [3]. To automate the facial emotion recognition system, various techniques have been used. With the help of such systems, facial expressions can be detected and the system has been applied during interviews [4], for surveillance systems [5], and for detection of aggression [6]. When it comes to computer vision and artificial intelligence, facial emotion recognition is one of the most important topics. For detection of facial emotions, various sensors can be used but facial images are more important because they carry enough information to understand interpersonal communication. Various research has been conducted over the last couple of years, out of which deep-learning-based FER approaches along with detailed algorithms have been proposed. In addition there are various hybrid and deep-learning approaches that are a combination of convolutional neural networks that combine the spatial and temporal features of frames [7]. Facial emotion recognition systems have gained popularity over the decades because of their diverse applications, and the majority of those applications are applicable in real-world activities like smart supervision for suspicious activities, marketing, group emotion analysis, etc. In the same field, a cost-effective system has been proposed by [PERSON] et al. that will help to implement a smart security system for law enforcement. This system has been proposed using Raspberry-Pi with Pi-cam, that also makes it cost effective and compact [8]. With the advancement of technology and the availability of various compact devices like Raspberry-Pi, it becomes easy to equip police and security officers with compact systems that can detect facial images in real-time. In addition to that, with the development of cloud-based technology, the captured images can be sent to cloud for future action. Such a cloud-assisted facial recognition framework has been proposed by [PERSON] et al. that can help to identify criminals and provide ease for police and security people to identify criminals quickly and easily with this proposed framework [9]. A smart home based on Raspberry-Pi has also been proposed that is completely automated. [PERSON] et al. has proposed this system to automate and provide access via web to carry out everyday work [10]. An energy efficient and smart water management system has been proposed to provide cost-effective solutions over existing irrigation systems.