facial recognition for retail analytics -payment and customer MANAGEMENT dubai uae oman saudi arabia
In year 2020, many stores in America will install Facial Recognition to let customer knows that they are in very safe zone of purchase and identity management. Facial recognition will be a major topic for the 2020 Olympic Games in Tokyo (Japan). This technology will be used to identify authorized persons and grant them access automatically enhancing their experience and safety. With over $123 million of retail losses per day nationwide, situations similar to the one shown in the video to the left are becoming all too commonplace. Bricks and mortar retailers nationwide are desperate for retail loss prevention solutions that work. Shoplifting and Organized Retail Crime result in substantial financial and security concerns. Retailers nationwide are looking to biometric face recognition technology to mitigate the loss before it walks out the door. In Sydney, face recognition is undergoing trials at airports to help move people through security much faster and in a safer way. In India, the Aadhaar project is the largest biometric database in the world. It already provides a unique digital identity number to 1.2 billion residents. UIDAI, the authority in charge, announced that facial authentication will be launched by September 15, 2018. Face authentication will be available as an add-on service in fusion mode along with one more authentication factor like fingerprint, Iris or OTP. Retailers are capturing footage–including gender and body language–to fight theft and gather sales data. Juniper Research forecasts that mobile biometrics will authenticate $2 trillion in in-store and remote mobile-payments transactions in 2023, driven by over 2,500% growth. In addition, the facial-recognition market is projected to double to $9 billion between 2018 and 2024, according to Mordor Intelligence, a consulting and advisory firm.
With the development of cities, resources and spaces are becoming increasingly tight. how to use the limited resources to provide as many services as possible for the public is a problem that urban administrations need to think deeply. Each business system is no longer an island of data. From the
top-level design, various infrastructure data are integrated and shared. The data value of each business system is integrated through AI and big data analysis and that value will improve city management and the emergency response capability. With advanced technologies such as wireless communication and Internet of Things awareness, the city's infrastructure operation can be perceived thus improving the operational reliability of infrastructure, achieving intelligent maintenance of facilities, and reducing maintenance costs. Through digital technology, BIM and other technical means, city management could be realized in one data map. and the data collected by each infrastructure is visually displayed in a to provide clear management supervision means for city administrations. A bottleneck in the development of smart cities is the information island effect. The data can not be disclosed and shared between different businesses and industries in the smart city system. This results in the separation of data and the inability to generate deep value of data. Regarding this issue, the administration has been consciously aware of and began to seek solutions. Now
they are seeking data sharing, and the exchange of data between businesses and industries has become a trend. The existing smart city system does not fully consider the sharing of data and the interoperability of services at the beginning of the construction. Generally, the independent construction mode of each business or industry is adopted, and there is a lack of uniform specifications and requirements in terms of data interfaces and formats. Therefore there is an urgent need to be able to open up data between different business or industries to achieve a data bus that is fused and shared. With the development of new energy vehicles, 5G/4G communication technology, intelligent lighting, AI/big data analysis and other technologies in recent years, traditional street lamps have become the best carrier that smartly served for users in cities. The current development trend is to integrate a variety of devices into this widely-distributed infrastructure. As the street lamp is widely distributed in cities, it can provide a solid foundation for various intelligent services at low cost thus becomes a better choice for smart city development and transformation.
The introduction of IoT communication technology brings the ability to sense anytime and anywhere, and accurately grasp the surrounding state information;
Strengthen the edge computing capability of the front end equipment and pre-performance high-performance computing to realize on-site data service processing;
The data bus lays a foundation for the integration and Sharing of data, and opens up data islands to achieve double the value of data;
Big Data Analysis& Data Visualization
Visualize the city's operational status through big data analysis and data visualization technology;；
AI HANDEL ALL EMERGENCIES
The intelligent light pole integrates an alarm button to facilitate the public to call the police at the first time. At the same time, the monitoring image of the incident area is played together, so that the higher level public security department can understand the scene at the first time, supplement the face recognition technology at the later stage, identify the person appearing at the crime scene, and locate the case location, site situation, personnel
information and other data. Efficient integration to provide accurate information for subsequent handling of the case.
“Available” information push
The charging pile can actively push the“Available” information to the city Internet of Things data bus, and then the data bus will uniformly release the
“Available” charging pile position information, thereby realizing the full sharing and use of resources.
Charging status visualization
The data such as voltage, current, power consumption, and energy consumption during the charging process are immediately detected and reported, so that the remote maintenance manager can intuitively grasp the running status of each charging post.
The user can charge the two-dimensional code of the pile display through the smart light pole to perform the payment operation, and enjoy the
convenience of the present.
Plug and charge
According to the user's habits, the electric vehicle can be connected to the grid for charging at any time, regardless of the operating characteristics of the grid.
High density deployment
The distance between the lamp poles is generally 20~30 meters, and the distance between the 5G micro base stations is 100~200 meters. Each pole is integrated with a 5G microstation, and the three major carrier base stations do not interfere with each other.
5G The power supply system of the smart light pole can solve the problem of difficult cable deployment outside the 5G micro base station construction.。
The smart light pole is used as the 5G base station carrier to avoid repeated investment of urban infrastructure funds, reduce equipment maintenance costs, and fully reflect the application value of “one-shot multi-purpose” of smart light poles. Harmonious management As a common municipal facility, the smart light pole has a harmonious appearance and can reduce the problems caused by electromagnetic radiation .
Face Recognition Solution for Schools & Hospitals in the Middle East.
RFID and other technologies for student or patient tracking are becoming obsolete and costly where many countermeasures used to overcome and defeat this these types of installation. Facial Recognition is showing up as a saver to such challenging and hard to implement verification and tracking solutions where the subject is very cooperative and less time available to make authentification and authorization with accuracy. SafeCity Security is having fully developed and customized solutions to track students and patients with 99% accuracy. SafeCity Face Recognition solution captures-identify-track and authorize all types of in motion traffic in the facilities. SafeCity solution is capable of recognizing faces with profile-tilt-dark glasses-head covered-abaya and many other parameters with the low light and outdoor conditions.