Introduction
Humans perform face recognition with minimum effort on a daily basis, and this form of biometric has many advantages over fingerprint and iris recognition, one of which is that face recognition can be performed in a covert manner from distance. Face recognition systems can be easy to integrate into most environments as these systems can collect a large amount of biometric data in a cost effective manner. Face recognition can also cause less inconvenience to the user than other biometric methods as the system does not require a user to contact the recognition device with any part of their body which can make it easier when collecting biometric information [1].
Face detection and recognition can be a challenging problem for developers
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This password can then be used to access the computer if there is a false rejection from the facial recognition software.
FIGURE 3 VALIDATING FACE MODEL
The final steps of the configuration process allows the user to select the webcam application that they will use in conjunction with the KeyLemon software in order to access their computer. KeyLemon software can then be configured to stop using the webcam after a specific time limit chosen by the user, which should be implemented to avoid unnecessary power consumption by the machine.
FIGURE 4 FINAL CONFIGURATION
Shown in Figure 5 are the settings that can be configured to add extra security to the KeyLemon product. These settings are not available when using the free version, so settings to improve the security like enabling eye blink detection and increasing the security level were not available for the evaluation of this
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Figure 6 shows a test carried out by myself on the KeyLemon software in order to perform a security assessment of the product. Using a mobile device I took a front facing photograph of myself which was similar to the image that KeyLemon had stored of me for authentication to my computer. Once I had opened the login screen of my computer I then proceeded to hold the mobile device which displayed the photograph I had just taken in front of the webcam. Immediately the face detection box turned green which indicated that it did recognise the face being displayed in front of the webcam. The KeyLemon software didn’t allow access to the system immediately, but after approximately one minute of holding the mobile device containing my image in front of the camera the software then validated the image as being me and allowed me access to my
Fig. 4. (a) Edge detected face (b) Edges in wrinkle area Feature 7= (sum of pixel values in forehead area / number of pixels in forehead area) + (sum of pixel values in left eyelid area / number of pixels in left eyelid area) + (sum of pixel values in right eyelid area / number of pixels in right eyelid area)
The interlocking door control system only allows a single individual at a time to enter the “trap”, the individual is than required to provide credential such as smart card, biometric verification, PIN and key fob in order to gain access to company grounds. All traffic in and out of the mantrap can be monitored via surveillance cameras for auditing and log activity. Another alternative would be the implementation of a security guard and surveillance cameras, which is a lower cost option but poses higher risk of theft
As you type your passwords it hides each character. After entering your information
Helps to quickly see what you are searching for in the internet 6. For implementation of passwords for systems with multiple users. For example in a school computer lab two or more student may have different account in the same machine 7. Heap
There are 2 modules: User Module Client application consist of the application on the user side. This application has the login page to register for new client. Th application communication with the server using internet connection. The application acts as a guide for direct him to his parking slot. After login in the application the user need to enter a field of its duration time which is send to the server.
TV511’s policy allows most employees to use their own laptops for working purposes without installing or applying any security managements on them. The business and personal data coexist on same device then it is very difficult to find a balance between a strict security control of enterprise and privacy of personal data, specifically when the device is no longer a corporate issued asset. Operating System Staff members of sale department and customer services are in favor of using Apple MacBook due to their elegant style and remarkable battery life.
It supports family safety settings, which means with the help of this we can keep track of our kids. Like of internet users and we can also make access of certain websites only. In addition to this window 8 also update automatically.
The device is very useful, as whenever any application is run on your device, the user is notified whether it is not secure after the identification is done. It offers a high level of security compared to antivirus programs since it is not vulnerable to credential hijacking and insider tampering. Also, this feature is capable of working virtually, meaning that in any case the OS is compromised in any way, then the Device guard will not be affected in any way but it will continue to work
Figure 9.4 – Stream When the stream starts, OpenCV, which is running on the server, starts detecting and recognizing faces and displaying the results in a list that resides on the right sidebar. A green box appears, containing the information and the image of the recognized face. If the detected face is unrecognized, a red box appears, containing the face of the unknown individual. Figure 9.5 – Detecting & Recognizing Faces Right after an unrecognized face is caught, an email is sent as an alert for the security guards, containing the unrecognized face of the individual, alongside the date, the time and the IP Camera’s information.
This software enables you to watch what happens on your cell phone on a bigger, computer screen and
Case 1: San Francisco International Airport and Quantum Secures SAFE for Aviation System San Francisco International Airport is expecting a rise of passengers due to an increase of low-cost carriers. They require a new security management system to accommodate the amount of traffic expected. Their current process is inefficient and disjointed, leading to many problems. The upgrade required needs to be justified and approved by management to be funded. 1.
However, despite these vast improvements, technology has also come with a lot of risks especially regarding personal information. Apple’s new finger scan feature may violate one’s right to use the fifth amendment which protects one from giving information that may self- incriminate one of a crime. The issue with Apple’s new software is that it
• Verified that all the zones trespass will be highlighted in the screen on the HMI. • Verified that intruder alarms are created for all the zones and reflected on the HMI. • Verified the alarm history to verify the automatic alarm option and to validate that all the sensors are well calibrated and weren’t activated through the night. Conclusion
A biometric safe uses one of many different techniques for determining that you are the safe owner. A common option is a safe that uses your fingerprints to determine your identity. Other options include voice recognition, face or iris recognition, or even your DNA. A safe that uses
INTRODUCTION Now a day’s a facial recognition system is a computer application and it is used for automatically identifying or verifying a person . This is done by comparing selected facial features from the image and a facial database. Face Recognition System focuses on contactless man and machine interface. The human face plays an important role in our interaction and people’s identity.