Core demands
Deli Office hopes to solve many problems existing in the following traditional attendance methods by carrying the market's advanced face recognition technology:
1. The traditional attendance method is generally based on on-site card reading and fingerprint attendance. This method has the following problems: the hardware module is easy to wear, the identification efficiency is low, and the fingerprint film is used to punch in.
2. At the same time, there are also some problems in traditional attendance, such as serious queuing in peak hours, inability to realize multi equipment linkage, and inability of attendance equipment to adapt to multiple environments and scenarios.
3. In addition, the traditional attendance data statistics are generally paper check-in or local database records, which have problems such as long data collection time and low accuracy.
Solution
Deli compared the products of 23 suppliers in the market at the initial stage of the selection of face cloud attendance machine algorithm, and finally chose Baidu Brain offline face recognition SDK from the perspective of products, algorithms, markets, services, etc. Baidu offline face recognition SDK product form fully conforms to the attendance machine scene, algorithm accuracy reaches more than 99%, cost-effective, and provides high-quality technical support.
Deli DL-D6 Face Cloud Attendance Machine, based on facial features, carries out unique identity verification, which can quickly and efficiently implement multi face attendance, meet the application of 24-hour complex environment, and meet the attendance needs of small and medium-sized enterprises at a cost performance ratio. Employees only need a quick glance to finish clocking in. The 64 bit high-speed quad core processor cooperates with Baidu's offline face recognition SDK to make face recognition speed<0.6s, and at least supports 1000 face databases. The built-in near-infrared camera of the device adapts to the near-infrared offline live detection algorithm to adapt to face recognition in various environmental conditions. It can also easily clock in in dark environments.
