PDF-Case Study : Water Treatment Plant Improved Employee Time Capture with Face Recognition
Author : david_villeda | Published Date : 2024-08-14
Greenville Water is a water treatment plant which employs nearly 100 employees The company required a punch in system to manage employee hours and implemented CloudApper
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Case Study : Water Treatment Plant Improved Employee Time Capture with Face Recognition: Transcript
Greenville Water is a water treatment plant which employs nearly 100 employees The company required a punch in system to manage employee hours and implemented CloudApper AI TimeClockRightPunch after being recommended by UKG due to its speed and simplicitybrbrLearn more httpsshorturlatljdXp. Weihong Deng (. 邓伟洪. ). Beijing Univ. Post. & Telecom.(. 北京邮电大学. ) . 2. Characteristics of Face Pattern. The facial shapes are too similar, sometimes identical ! (~100% face detection rate, kinship verification). . hongliang. . xue. Motivation. . Face recognition technology is widely used in our lives. . Using MATLAB. . ORL database. Database. The ORL Database of Faces. taken between April 1992 and April 1994 at the Cambridge University Computer . We at Edubull.com provides online study material for CBSE Class U.K.G. We nurture the learning capacity in students studying in CBSE Class U.K.G.in such a way that they enjoy learning. We offer creative and interactive videos which will help students to learn in an easy and simple manner. Hao Zhang. Computer Science Department. 1. Problem Statement. Verification. Identification. A. B. Same / Different persons?. A. B. C. D. Which has the same identity as A?. 2. Solutions. Extensions of still face recognition algorithms. Linda Shapiro. ECE P 596. 1. What’s Coming. Review of . Bakic. flesh . d. etector. Fleck and Forsyth flesh . d. etector. Review of Rowley face . d. etector. Overview of. . Viola Jones face detector with . Brightwater Senior Living employees across its facilities focuses on delivering stellar services to the residents. Managing a workforce that’s spread across different branches was a considerable challenge for them. For instance, different methods were used to keep times for payroll management across the branches. As a result, information was fragmented, making it difficult to calculate employee payroll. Brightwater sought to consolidate all their employees timekeeping into a single, intuitive, and easy-to-use platform. That’s why we offered them a touchless time capture solution that is fully compatible with their payroll management solution UKG Ready. Our solution proved to be a cost-effective solution for them to remotely capture and feed time data from all locations into a single, centralized system.
Learn more: https://shorturl.at/Cmmwb R.D. Offutt Farms aimed to streamline their employee management by implementing a job transfer code feature before the 2021 harvesting season. They sought a solution that would allow them to deploy employees to different farm locations without creating new profiles for each location. To achieve this, they integrated their UKG profiles into CloudApper AI TimeClock (RightPunch™), which included the job transfer code feature. Initially, they used facial recognition system but later switched to the QR barcode system to simplify the process, especially given the family-oriented nature of their workforce, which included 12 sets of twins. This implementation allowed for efficient and flexible employee management across their various farm locations.
Learn more: https://shorturl.at/fRSWh This case study focuses on how an electroplating company digitized manual employee timekeeping with a custom CloudApper AI Time Clock solution with UKG Ready.
Learn more: https://shorturl.at/XT2cF Explore how fuel forecourt merchant Applegreen streamlined time tracking across its convenience stores, restaurants, and shopping centers with CloudApper AI TimeClock. Applegreen needed an affordable Time Clock that wouldn’t compromise productivity. CloudApper AI TimeClock, featuring facial recognition and custom workflows, provided a budget-friendly solution while enforcing compliance with labor rules. The seamless integration with UKG Pro WFM(Dimensions) ensured a smooth transition and real-time data updates, all through an intuitive interface.
Learn more: https://shorturl.at/7GkKj Discover how Knighted Ventures overcame time tracking challenges across its 17–18 locations with CloudApper AI TimeClock. Facing issues with uniformity, duplicate punches, and identifying identical twins, Knighted Ventures needed a flexible and secure solution. CloudApper AI TimeClock offered customized configurations for a consistent rollout, smart punch sequencing to prevent double entries, and a unique twin identification process using extra PIN code verification.
Learn more: https://shorturl.at/U2Dgu While organizations are using UKG solutions for optimizing WFM, many have diverse requirements that need customizations. For instance, many UKG customers have to make sense of specific information or pull it from several sources – something that’s complicated for regular dashboards. The CloudApper platform provides custom BI dashboards for UKG that help visualize information and make informed decisions.
Learn more about CloudApper\'s Custom BI Dashboard for UKG (Kronos): https://shorturl.at/AbqXf In this whitepaper, we will explore how CloudApper can help UKG customers to manage unexpected employee absences and streamline their workforce management process. which allows managers to stay on top of their workforce and make informed decisions.
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