In a Nutshell.
Our
Solution
Innovature proposed a tracking system where employee personal details and their physiological characteristics are mapped onto their respective profiles and equipped to track the activities. The system enables the company to stay connected with their employee and monitor everything about them inside the company, thus bringing a considerable end to the time-theft activities. The Software enables the accurate tracking of employee working time and, the company can pay their employees based on the same.
The system provides accurate and reliable employee attendance. Also helps to resolve buddy punching as it is one of the serious problems faced by many companies with outdated security and tracking systems. Generally, most of the employees will try to save their buddies to get full attendance by punch instead of them. But when it comes to face recognition in Biometric Attendance System, one could not make it possible. Therefore, it is the best technique to follow.
The implemented tracking system brought numerous benefits to the client. Firstly, it significantly reduced the need for human intervention by an impressive 56%. By automating the attendance tracking and payroll calculation processes, the system saved valuable time and resources for the team. In fact, approximately 40% of the team’s productive time was saved, allowing them to focus on more important and strategic tasks. Moreover, the system successfully resolved security issues such as buddy punching and tailgating, enhancing overall security measures within the company.
The advanced face detection technology prevented unauthorized access and eliminated the practice of buddy punching, ensuring accurate attendance records. Lastly, the solution was delivered within a short timeframe, meeting the customer’s release plan. These benefits combined improved operational efficiency, increased productivity, enhanced security, and timely implementation for the client.
Leveraging machine learning, we crafted an exceptional person detection solution for diverse contexts, including security, surveillance, and computer vision applications.
The goal is to create a cycle navigation application that saves time, reduces worry, and provides confidence in being on the right route, designed for safety, enjoyment, and showcasing the best sights and scenery.
It could adeptly capture user feedback, meticulously analyzes sleep patterns, and delivers actionable insights to optimize sleep quality while tailoring mattress design to individual preferences.