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In the modern world, practically every piece of equipment has been transformed into a smart device thanks to technological advancements. From everyday objects to the most cutting-edge electronic equipment, almost all electronics are becoming intelligent. Modern products’ *smart” characteristics are a result of the inclusion of prediction algorithms and artificial intelligence (AI). In light of this, a smart device that may present personalized data displayed on the screen and behave intelligently by offering security as required is suggested. The technology can be used to provide security in a deployed setting. It can also keep an eye on people. Typically, people use mirrors to get ready for the day’s work. According to some research, an average person spends at least 28 minutes every day looking in the mirror“!), The primary idea is to use this time to notify a person of the most recent news, weather, date, time, and calendar adjustments as a result. It is quite difficult to find time to check the news and other updates, like the weather, because of how hectic life has become. Additionally, there is a lack of a package that compiles and shows all of this information on a single screen. The suggested system is interactive, that Smart Mirror even as you are getting ready to display relevant and necessary information. There have been many different systems offered up to this point, but the way the product is used makes a significant difference °->), The majority of the items on the market are informational, passive, and barely interactive. Such a system's main function is to show information on the mirror, and it may be operated with any type of input, including keyboard, or mobile instructions. A two-way acrylic sheet, a mirror, an LCD (liquid crystal display), or an LED display can all be used as displays for these smart mirrors. The proposed system is capable of responding to orders issued from mobile devices °®) . The proposed work functions as a security precaution, a tool for human monitoring, and a means of information dissemination. The system helps in detecting intrusions. The camera attached to the Raspberry Pi is triggered as soon as the PIR (Passive Infrared Sensor) sensor detects activity, motion, or movement. The camera attached to the Raspberry Pi4 latest model is taking pictures. Using image processing methods like Background Subtraction and the Simple Frame Difference Approach, the invasion is found. The administrator of the mirror will receive notification of the incursion through an alert message along with a photo of the offender. Additionally, the technology is being developed for human monitoring. Families are becoming smaller in size today. Thus, it becomes challenging to keep an eye on kids, the elderly, and the ill). It is challenging to watch over children when they get home from school due to busy schedules and working parents. An alarm message will be issued to the Smart Mirror administrator if the person moves out of the camera’s field of view. The proposed methodology will be useful for employee monitoring in jewelry stores, prisoner monitoring in jails, and monitoring prisoners in hospitals“! (11),

Figure 1 In the modern world, practically every piece of equipment has been transformed into a smart device thanks to technological advancements. From everyday objects to the most cutting-edge electronic equipment, almost all electronics are becoming intelligent. Modern products’ *smart” characteristics are a result of the inclusion of prediction algorithms and artificial intelligence (AI). In light of this, a smart device that may present personalized data displayed on the screen and behave intelligently by offering security as required is suggested. The technology can be used to provide security in a deployed setting. It can also keep an eye on people. Typically, people use mirrors to get ready for the day’s work. According to some research, an average person spends at least 28 minutes every day looking in the mirror“!), The primary idea is to use this time to notify a person of the most recent news, weather, date, time, and calendar adjustments as a result. It is quite difficult to find time to check the news and other updates, like the weather, because of how hectic life has become. Additionally, there is a lack of a package that compiles and shows all of this information on a single screen. The suggested system is interactive, that Smart Mirror even as you are getting ready to display relevant and necessary information. There have been many different systems offered up to this point, but the way the product is used makes a significant difference °->), The majority of the items on the market are informational, passive, and barely interactive. Such a system's main function is to show information on the mirror, and it may be operated with any type of input, including keyboard, or mobile instructions. A two-way acrylic sheet, a mirror, an LCD (liquid crystal display), or an LED display can all be used as displays for these smart mirrors. The proposed system is capable of responding to orders issued from mobile devices °®) . The proposed work functions as a security precaution, a tool for human monitoring, and a means of information dissemination. The system helps in detecting intrusions. The camera attached to the Raspberry Pi is triggered as soon as the PIR (Passive Infrared Sensor) sensor detects activity, motion, or movement. The camera attached to the Raspberry Pi4 latest model is taking pictures. Using image processing methods like Background Subtraction and the Simple Frame Difference Approach, the invasion is found. The administrator of the mirror will receive notification of the incursion through an alert message along with a photo of the offender. Additionally, the technology is being developed for human monitoring. Families are becoming smaller in size today. Thus, it becomes challenging to keep an eye on kids, the elderly, and the ill). It is challenging to watch over children when they get home from school due to busy schedules and working parents. An alarm message will be issued to the Smart Mirror administrator if the person moves out of the camera’s field of view. The proposed methodology will be useful for employee monitoring in jewelry stores, prisoner monitoring in jails, and monitoring prisoners in hospitals“! (11),

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in this case, commands can also be supplied through mobile phones using the appropriate interface
in this case, commands can also be supplied through mobile phones using the appropriate interface
This proposed architecture shown in Figure 4 uses raspberry pias the core of it, and we design a system in such a way that al the notifications which are preloaded are available to the defined user so that he can avail of the latest news or the web service: in an instant, so the defined user can avail all the necessary service. So the architecture works basically in the following way, first, the camera will be placed in the required area so that it can capture the necessary image, and the captured image will processed inside a raspberry pi which will be in the core and it does all the necessary calculations and it identifies the requirec portions and it will split the processed information to perform the two actions they are human detection and intrusion detectior so at first it will identify a person in the image and it will process the pre-loaded data and matches the captured image so if t match synchronizes then it will move forward to the next stage, and in the intrusion detection, it will just sense the object anc alerts if the object is an unauthorized one using PIR sensors. So here it can also be controlled using the mobile phones using the respective interface, and all the information which are already included in the device is processed and displayed over t screen. a Dé ne ne
This proposed architecture shown in Figure 4 uses raspberry pias the core of it, and we design a system in such a way that al the notifications which are preloaded are available to the defined user so that he can avail of the latest news or the web service: in an instant, so the defined user can avail all the necessary service. So the architecture works basically in the following way, first, the camera will be placed in the required area so that it can capture the necessary image, and the captured image will processed inside a raspberry pi which will be in the core and it does all the necessary calculations and it identifies the requirec portions and it will split the processed information to perform the two actions they are human detection and intrusion detectior so at first it will identify a person in the image and it will process the pre-loaded data and matches the captured image so if t match synchronizes then it will move forward to the next stage, and in the intrusion detection, it will just sense the object anc alerts if the object is an unauthorized one using PIR sensors. So here it can also be controlled using the mobile phones using the respective interface, and all the information which are already included in the device is processed and displayed over t screen. a Dé ne ne
Fig 6. Actual Detection Prediction Process The bounding box followed for the grid cell is as shown in Figure 5. b,, and b;, represent the prediction’s width and height, whereas b, and by are the predictions x and y center coordinates. The network outputs are denoted by the words ty, ty, t,, and ty. The top-left grid coordinates are represented by the words c, and cy. py and p, stand for the box’s anchor dimensions. Figure 5 explains the real procedure of detection and prediction 97) 2),
Fig 6. Actual Detection Prediction Process The bounding box followed for the grid cell is as shown in Figure 5. b,, and b;, represent the prediction’s width and height, whereas b, and by are the predictions x and y center coordinates. The network outputs are denoted by the words ty, ty, t,, and ty. The top-left grid coordinates are represented by the words c, and cy. py and p, stand for the box’s anchor dimensions. Figure 5 explains the real procedure of detection and prediction 97) 2),
Fig 7. Schematic Diagram of the YOLO algorithm
Fig 7. Schematic Diagram of the YOLO algorithm
Fig 9. Hardware Setup
Fig 9. Hardware Setup
Fig 11. Yolo object Detection output Figure 11 illustrates how the human in the input image is recognized by its classes and assigns each object by its tag and ha dimensions on the detected Image. Figure 12 illustrates how each object by its tag has dimensions on the detected image and sends the message to the owner via email.
Fig 11. Yolo object Detection output Figure 11 illustrates how the human in the input image is recognized by its classes and assigns each object by its tag and ha dimensions on the detected Image. Figure 12 illustrates how each object by its tag has dimensions on the detected image and sends the message to the owner via email.
Fig 12. Authorities Notified via Email
Fig 12. Authorities Notified via Email
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Embedded SystemsSmart Mirror
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