Entrypass Face Recognition
Zoraida
EP.FR1050MT face recognition terminal is a kind of access control device integrated with temperature screening function. It can fast taking skin-surface temperature and upload abnormal temperature event to the center, which can be widely applied in multiple scenarios, such as enterprises, stations, dwellings, factories, schools, campus and so on.
Who needs tickets when you have a face? From today, the ticketed tourist town of Wuzhen in China is using face-recognition technology to identify people staying in its hotels and to act as their entry pass through the gates of the attraction.
Wuzhen is a historic town that has been turned into a tourist attraction with museums, tours and traditional crafts. When people check in to hotels in the tourist area, they will now have their pictures taken and uploaded to a central database. If they leave and re-enter the town, the face-recognition software will check that they are actually a guest of a hotel there before allowing them back in.
Previously, multiple types of entry ticket had to be handed out to distinguish between one-off visitors and those staying for longer. But the system could easily be exploited, and some guests were caught sharing their tickets with other people to avoid paying the entry fee.
Some airports already have a form of face-recognition software at passport control, but the setup is different. At an airport, you have to present your passport and the software determines whether the person standing in front of the camera matches that identity. But at the gates of Wuzhen, no identification is presented: instead, the software searches a large database for the face staring into the camera.
EntryPass Card Access Reader AY-J12C, which has professional-grade features coupled with the rugged, weather-resistant design make the AY-J12C well-suited for demanding indoor/outdoor commercial and industrial applications. The ease of installation and standardized Wiegand output also allow for flexible deployment across various access control environments and systems.
Excellent read range up to 100mm (4") for RFID 125KHz credentials
RF modulation uses ASK (Amplitude Shift Keying) at 125KHz frequency
Internal buzzer provides audible notification when card is read
LED color control input allows integration with access system status lights
Optical wall tamper detection provides enhanced security monitoring
Epoxy potted and fully sealed in a tough polycarbonate enclosure
Water-resistant IP65 rated casing suitable for indoor and outdoor use
UV-resistant plastic construction can withstand harsh environments
Designed for easy mounting with cover for hidden mounting screws
Wide 5-16 VDC operating voltage range from regulated power supply
Comes with 60cm (23.6") shielded interface cable
Includes mounting template for easier and proper installation
Wiegand 26-Bit output for simple integration with access control systems
Install Door Access Control with EM Lock in Singapore. Every office needs a proper door access control system. The door access control system consists of a few components: an access control reader, a Electro-Magnetic Lock (EM lock), a power supply with back up battery, a door release button, an emergent break glass, a by-pass key, and a software which can control all the access control readers. There are various type of opening methods: facial recognition, fingerprint, card, password, barcode scanning, etc. The benefits of the door access control system include the auto-lock function, the transaction record keeping ability, and most importantly, the easy-to-manage nature which dramatically reduce the administrative work.
We have a full range of office door access control readers that come with the full door accessories (EM Lock, power supply, back up battery, door release button, by-pass key), and the software to monitor the access record. Installation service will be provided with no additional charge. Recognition methods includes: face recognition, fingerprint, car or password. Brands include HID, Hikvision, ZKTeco, Entrypass, Suprema & Safetrolley. Trusted office door access control system supplier in Singapore by over 10,000 customers.
Although AI has broader applications in the travel and tourism industry, facial recognition kiosks at airports have been one of the most prominent applications in the public discussion about AI. Their promise: to increase security and potentially speed up passenger boarding.
The user could then upload a captured image that is not labeled into the AIR. The algorithm behind the software would then be able to detect, recognize, or classify a face or feature, match one image to another, find look-alikes, or do best-match identification. The system then alerts a human employee of a possible mismatch in the live person and the captured image in real time.
SenseTime claims users can integrate the turnstile version of the facial recognition device into the pedestrian gate as well as other security touch points, and use a variety of authentication systems, including intelligent ID cards, two-dimensional code, and live images.
The user could then upload the images or footage that are not labeled into SenseTime. The algorithm behind the software would then be able to identify and detect images or footage that may be considered anomalous. The system then alerts a human employee of these examples of anomalous images or footage in real time.
SenseTime claims to have demonstrated the efficacy of SenseKeeper in decreasing the time needed to grant access to secure areas such as airports and business premises. Partner company Entrypass integrated the SenseKeeper Face Recognition Terminal with its video management and control platform. According to the case study, SenseKeeper enabled Entrypass to recognize and verify an authorized person as they approach a turnstile, allowing access in a millisecond. Entrypass states SenseKeeper can recognize one face out of one million in that time.
SITA claims airports and airlines can integrate the software into existing infrastructure and systems such as including secure access gates, check-in kiosks, self-bag drop facilities, border control stations, boarding gates, and other standard common-use systems.
The user could then upload the image or footage that is not labeled into SmartPath. The algorithm behind the software would then be able to identify if the live person matches the stored image in the system. The system then alerts a human employee of a possible mismatch between the live image or footage to the stored image in the system in real time.
The user could then upload an image that is not labeled into the custom Face Recognition API. The algorithm behind the software would then be able to detect, analyze, and recognize faces and match them to images previously authenticated in the database. The system then alerts a human employee of possible mismatch between the unlabeled image and any image in the client database.
Kairos claims to have helped Veritone in quickly identifying one out of thousands of enrolled faces in unlabeled images and videos. Veritone developed its own platform using the Face Recognition API. According to the case study, Veritone was able to provide insights to their clients by enrolling over ten thousand images and processing about five million faces in 12 months.
Dr. Stephen Moore is the Chief Scientific Officer at Kairos. He holds a PhD in Computer Vision from the University of Surrey. Previously, Moore served as Co-Founder and Chief Technology Officer at Emotion Reader (acquired by Kairos on June 11, 2018).
Yitu Technology offers Smart Security solutions, which it claims can help airports, transportation centers, commercial establishments, shopping centers, and other urban areas with security issues using machine vision and facial recognition technology.
The user could then upload an image or footage that is not labeled into the Smart Security solution. The algorithm behind the software would then be able to identify the faces that are already in its database. The system then shows a human employee of a valid match or possible mismatch in real time.
Yitu Technology claims to have helped the Suzhou Municipal Public Security Bureau in identifying suspects even if they are in disguise. Suzhou Municipal Public Security Bureau integrated the Dragonfly Eye Generic Portrait Platform technology, part of the Smart Security solution, into its public security system. According to the case study, the Suzhou Municipal Public Security Bureau was able to apprehend three suspects in disguise within 24 hours of deploying the platform. A follow up on the case study claims that integrating the system has resulted in solving more than 500 criminal cases since June 2015.
Leo Zhu is Co-Founder and CEO at Yitu Technology. He holds a PhD in Statistics from the University of California, Los Angeles (UCLA). Previously, Zhu served as a Postdoctoral Fellow at the AI Laboratory of the Massachusetts Institute of Technology.
Facial recognition technology has been traditionally associated with the security sector but today there is active expansion into other industries including retail, marketing and health. By 2022, the global facial recognition technology market is projected to generate an estimated $9.6 billion in revenue with a compound annual growth rate (CAGR) of 21.3 percent*.
In our previous report, we covered the current use cases for AI in construction and building. As of now, numerous companies claim to assist building maintenance managers in aspects of their roles from optimizing energy usage in building to improving the comfort of building occupants.
In their recent Worldwide Spending on Cognitive and Artificial Intelligence Systems report, IDC estimated that banking investments in cognitive and AI systems in 2018 might total around $4.0 billion. Many AI vendors claim to offer software for numerous finance use cases, such as credit scoring, insurance underwriting, debt collection, fraud detection, and more recently, financial regulations, or so-called regtech.
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