After nearly 3 years of being affected by the Covid-19 pandemic, production and business activities as well as operations at enterprises were more or less interrupted. In order to quickly adapt to unpredictable developments of the epidemic, businesses have implemented many flexible solutions such as working remotely, limiting contact, continuously rotating workers in shifts, etc. Which helps to limit the risk of disease spread in offices, but makes timekeeping, which is already complicated, now an even more difficult problem.
Going through the stage of managing to adapt, up to the present time, enterprises have to continue to face the problem of optimizing operation management, whose core is human resource and cost management. How to reduce costs, save time, increase employee satisfaction and engagement, thereby improving labor productivity, increasing profits and helping businesses recover quickly and continue to grow and stronger breakouts.
Those “pain points” are like knots, but they are also “push points” that force businesses and organizations to transform in order to survive. And digital transformation for intelligent human resource management has emerged as a trend, which experts believe will become an inevitable choice of businesses. In particular, the application of face recognition technology by AI is a breakthrough step.
Survey data from Comparitech’s expert group shows that about 40 countries (out of 99 countries in the survey) have companies and organizations deploying facial recognition technology in the workplace. .
According to Statista, the global facial recognition market size in 2020 will reach US$3.8 billion and is estimated to double by 2025, with a forecast value of US$8.5 billion. America.
The above figures show that the demand for face recognition AI application is rapidly increasing and has become a trend to dominate the market worldwide, with outstanding advantages such as: simple operation (no contact), high accuracy and security, saving time and operating costs; flexible connectivity and accurate data aggregation according to needs,…
Catching the trend and grasping practical needs, a number of domestic technology corporations have actively invested in research and development of AI facial recognition application solutions to digitize time attendance management.
The advantage of the solution built by a team of Vietnamese technology engineers lies in the ability to understand the practical operation problems as well as the concerns and problems of Vietnamese enterprises when deploying, from which they can take the initiative. configure, change or upgrade according to the needs of each business. In particular, domestic software solutions are often easy to connect and integrate with external systems, helping customers to choose appropriate options. with your business, significantly saving investment costs, helping to make the most of and effectively exploit the internal database.
Among the existing solutions on the domestic market, it is worth noting that vnFace – an intelligent time and attendance management solution using AI technology researched and developed by VNPT Group. VnFace provides services in the form of a SaaS model (short for Software-as-a-Service – roughly translated as Software as a Service). Accordingly, customers can directly use the software by web and mobile interfaces or integrate it into their information technology applications or use the vnFace solution suite as a module to build it into a supply chain solution. provided to a third customer.
In addition, vnFace develops functional modules, specialized APIs/SDKs, allowing external systems to connect and integrate with the product easily and conveniently.
The solution is super secure thanks to Secure Hash Algorithm encryption technology, which ensures that all data is stored at the highest security standards. This technology helps to completely solve employees’ concerns about information disclosure or unauthorized use of personal images for different purposes, thereby creating peace of mind and comfort for all employees. in the business.
The application is easily integrated with automatic door opening/closing systems. Employees just need to stand in front of the tablet, use the voice “thanks” to the iSee virtual assistant (researched and developed by the staff of the VNPT-IT Innovation Center) to wake the device and time attendance by face. The operation is completed in about 1 second.
Many technology experts believe that vnFace will be an impressive “digital” touch point, helping to improve the experience for employees as soon as they step into the office.
Mr. Tran Khang, human resources director of a retail business in Hanoi, commented: “Since vnFace was launched, the attendance and timekeeping data collection of nearly 5,000 employees working at 36 stores has been completed. branch of the company nationwide becomes much simpler. Team C&B does not have to waste time comparing camera data and processing applications and complaints related to fingerprint errors like before. For me, vnFace is really an effective assistant that helps me easily grasp the overview of personnel going to work/absence during the day at all branches on a real-time statistical dashboard screen. then report to management as soon as required. In particular, vnFace allows to adjust the AI threshold and decentralize personnel to suit specific functions or business needs, making the operation and management more scientific and convenient.
Highly appreciated by the international community, at the 2021 Stevie Awards International Business Awards, vnFace was honored to win the Silver award in the B2B product category, affirming the difference compared to many competitive solutions. painting.
VnFace aims to transform the way businesses and organizations operate as well as becoming an important link in the process of popularizing IoT technology (Internet of Things). customers are small and medium enterprises, government agencies, schools. With outstanding advantages compared to similar products, the product is forecasted to occupy 30% of the market in the next 5 years.
Source: VNPT