At present, many domestic enterprises, institutions, schools, and hospitals have staff restaurants. Most restaurants adopt traditional consumption management systems, which use card swiping, QR code, and fingerprint verification for identity verification, solving cash flow problems and improving management efficiency. But restaurants are mostly welfare oriented, with low meal costs, and companies need subsidies. The existing IC card authentication has a proxy swiping problem, leading to the abuse of benefits. Although fingerprint recognition verification attempts to solve the problem, there are hygiene and recognition effectiveness issues. Will Data has developed a facial recognition consumption system based on deep learning, which combines multiple systems to achieve multi scenario management, ensure funding and benefits, solve dining management problems, and enhance intelligent image.
The cloud consumption system of WEDS aims to add consumer devices in designated locations, record and analyze device and personnel transaction data, and meet functions such as recharge, subsidy, consumption, and report statistics.
The system can accurately calculate transaction records of places, devices, and individuals, and save or print them in the form of reports. This system not only supports dining, but also meets the needs of enterprise logistics services to transform towards intelligence and digitization. By installing hardware devices, unified consumption can be achieved.
In enterprise restaurants, the system not only meets high standards such as environmental hygiene, comfortable dining, and convenient dining, but also eliminates favoritism, blocks management loopholes, reduces labor costs, improves work efficiency, and optimizes service quality; WEDS cloud solution for consumption has a high cost performance ratio, not only combining software and hardware, but also fully implementing its functions; Multiple canteens can be managed in the cloud, with strong carrying capacity, automatic reconciliation of reports, fast settlement, high payment efficiency, fast facial recognition speed, support for 4G, Bluetooth, and the use of financial and facial algorithms to further improve security.
The cloud consumption solution of WEDS consists of the Smart Enterprise Wisdom Cloud platform (cafeteria consumption module), E \ CE series consumer machines, and Smart Enterprise Wisdom Cloud WeChat application. From various management, to setting various rules, to switching between multiple consumption modes for actual consumption, and finally to record push and query, WEDS has designed a complete set of functions to support actual use.
We have designed multiple functions to truly implement and use the plan, and to make consumption restrictions more flexible, we have designed personnel grouping by establishing multiple consumer groups, supporting the setting of specified meal time periods/designated consumption venues, subsidies, and quota restrictions for different consumer groups;
To enable real-time synchronization of terminal devices, we have the file or platform settings changed, and the data will be automatically distributed to the terminal device. At the same time, when the terminal has data, it will be automatically uploaded to the platform for statistical analysis.
In order to make payment more convenient, we have designed a variety of payment methods that can be configured according to needs. The payment media supports face recognition, swiping cards, and scanning codes. The payment methods support balance accounts, subsidies, WeChat/Alipay payment codes, and so on.
The plan adopts binocular facial algorithm and wide dynamic recognition technology to achieve automatic facial recognition and live detection, with a recognition speed of less than 1 second and high recognition speed, avoiding employee queuing phenomenon.
The terminal is not afraid of network interruption, and automatic accounting ensures normal consumption. When the network is interrupted, the terminal can automatically enter the accounting consumption mode according to the settings, and set the cumulative number of times and accounting cumulative amount; After going online, the accounting records will be automatically uploaded.
Daily end of day settlement daily flow, automatically generate multi table transaction flow details and account changes, query and export various daily/monthly reports, summary statistical reports, and financial reconciliation reports.
WEDS cloud consumption plan is tailored to the different needs of consumers, operators, and managers. Based on these needs, Will Data has developed a practical solution that can be implemented. In the future, WEDS will not disappoint everyone’s expectations. Welcome to contact us.
Shandong Well Data Co.,Ltd adheres to the development strategy of “providing users with overall identity recognition solutions and landing services”, focusing on campus and government enterprise users. Its leading products include: smart campus collaborative education cloud platform, campus identity recognition application solutions, smart enterprise management platform, and identity recognition intelligent terminals, which are widely used in access control, attendance, consumption, class signage, meetings, etc Management of places where visitors and other personnel need to verify their identities.
The company adheres to the core values of “first principle, honesty and pragmatism, courage to take responsibility, innovation and change, hard work and win-win cooperation”, and develops and produces core products: smart enterprise management platform, smart campus management platform, and identity recognition terminal. And we will sell our products globally through our own brand, ODM, OEM and other sales methods, relying on the domestic market.
Created in 1997
Listing time: 2015 (stock code 833552 on the New Third Board)
Enterprise Qualifications: National High tech Enterprise, Double Software Certification Enterprise, Famous Brand Enterprise, Excellent Software Enterprise in Shandong Province, Specialized, Refined, Special and New Small and Medium sized Enterprise in Shandong Province, “One Enterprise, One Technology” R&D Center in Shandong Province
Enterprise scale: The company has more than 150 employees, 80 technical research and development personnel, and more than 30 specially hired experts
Core competencies: software technology research and hardware development capabilities, the ability to meet personalized product development and landing services