96XXXXXX30
Send MessageStreet Address: Jayalakshiminagar
City: Kumbakonam
Province/State: Tamil Nadu
Country: India
Business Details: Logic Research Labs (LRL) was founded in 2003 with the aim of revolutionizing today's and tomorrow's Business using advanced Software Technology. We undertake technically challenging projects, capture the core of Business Logic and transform it into Software Applications. Logic Research Labs provides end-to-end business solutions for different IT needs in Healthcare, Education, Retail, E-commerce, Embedded/IOT, Bio-metric Security and Mobile/Cloud apps. To compete in today’s world, we need quick access to a broad choice of cutting-edge products that can be easily integrated into complete solutions. At Logic Research Labs we design and develop Scalable Cloud apps running on Reliable and Highly-Available Cloud platforms that are Secure and have near zero downtime at an Affordable cost and Best-performance. Thanks to Digital Ocean, Amazon AWS, Google Cloud, Microsoft Azure and IBM Cloud platforms. Logic Research Labs On-Prem solutions are intended to facilitate information sharing between different departments, enables business and operational planning. We develop fully customizable solutions for your Business applications. We are pioneering low cost Mobile app development using latest Progressive Web Apps (PWA) technology. We have in-depth experience in developing apps for Android, IOS, Smart Watch Wearable & Cloud SaaS apps. We have helped many Startups to realize their very first product by developing at Logic Research Labs. A team of Experts/Architects/Developers/Testers all work in orchestration to deliver the product.
Business Type: Service Sector
Keywords: Hospital Management System(HMS) , Pharmacy, Tokensystem, Nurse Calling System, Lab software, Electonic Medical records, Telemedicines, Psychiatry Software, School Management System,PWA App, Cloud Application, Mobile App, Websites, point of Sale , Biometric, Embedded IOT, Startsup, Healthcare, Finance. Android Ios, Digitial Signage
Office Location: Tamil Nadu
Cloud based Face Attendance Software is a cutting-edge solution that utilises the latest Deep Learning Face Recognition technology to make attendance tracking simpler and faster. It is an advanced, automated, and high-accuracy software that accurately identifies and recognizes faces for recording In-time and Out-time to calculate attendance. Face AI End-point devices can be deployed on Organization/Campus wide and the reports can be viewed by accessing the Cloud server from anywhere. Face AI offers a Secure and Reliable way to manage attendance and incorporate pandemic safety measures. Features: Cloud - Based : Easy remote access and management. Attendance Reports : Attendance Register, Duration, Late Entry, Early Exits, OT Register. Advanced Filter Options: Member wise, Month wise Last 30 days, Last 7 days Real - Time Monitoring : Allows real-time monitoring of attendance, Tracking employees or students. Integration : Can be integrated with other systems, such as HR or payroll. Data Security : Ensures data privacy and security, with access limited only to authorized personnel. Scalability : Can be easily expanded to accommodate larger organizations or institutions. Interface : User-Friendly and easy to use, requires minimal training. Auto Learning : Improves Face Recognition Accuracy Confidence: Confidence matching Percentage Auto Lighting: Motion & Ambient Sensor Light Batten Anti Spoofing: Against video attack, colour photos, digitised photos and video in smartphones/laptops. Display : 6.6 Inch display Capacity: 1 million face templates capacity Compact : Stylish, compact, easy to install. Highlights : Deep learning technology Auto-learning Face Multiple Entries & Exit allowed Confidence Matching Percentage Different Gate of Entries & Exits points allowed Cloud-ready real time tracking GeoFence Payroll Integration (optional) Identical Twins Recognition HOW IT WORKS ? With deep learning technology, Face recognition identifies, collects, stores, and evaluates face characteristics so that they can be matched to photos of people in a database. Once the employee, clocks-in or clocks-out with the Face Recognition Attendance, it captures the image of the face, processes and analyzes it, calculates the Confident Percentage, and displays the identification results along with the Person & Organization Name, In or Out Time, and Device ID, accompanied by an audio message of "Welcome & Thank you". https://logicresearchlabs.com/face-recognition-attendance-system/
