Using Face Recognition software reduces interruption of clients and it generates useful information to improve security standards.
Businesses or organizations that use Face Recognition software embrace advancement in technology to reduce congestions and any sort of inconveniences that might result from the use of traditional methods of identification. Furthermore, it reduces chances of losing customers in a business. It is the fastest way to frisk customers or clients without arousing negative emotions associated with such frisks. Besides, the system allows performance of electronic procedures limiting human contact. The development and installation of the software require high-level programming and testing. Since most businesses find outsourcing Face Recognition development and installation a convenient and cheaper option, they will find Freelancer.com very useful in finding the right freelancer for the task.
Face Recognition jobs require professionalism and competency. It is for this reason that freelancers find it easy every time they have a contract with clients. The job requires premium services for which most clients are willing to pay, provided their needs are satisfied. With most businesses and institutions embracing Face Recognition, it shows that such professional services are in high demand. If you can offer such services, Freelancer.com is where you want to be.From 11844 reviews, clients rate our Face Recognition Experts 4.74 out of 5 stars.
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This task is to develop a responsive sign-up and login module front-end to detect the user's face direction using the webcam and send the scanned image to the back-end. Simple and minimalistic design.
We have an attendance application based on mobile apps with facial recognition mechanism. Due to server capacity reasons, We don't enable facial recognition function, but when attendance process occurs, We saved image for each timesheet process. Face verification process is carried out in the back process or pending verification. In a month we have more than 300,000 face data. But during the verification process after we checked manually, the library we used could not display data with high accuracy. Fake methods are widely used, such as using photos and videos for the attendance process. Then there are also the challenge that the photos from the attendance process are not all of good quality, because the mobile devices used for attendance are very diverse. Maybe FaceMe can help us wi...
Similar like this shouldn't copy: - Design masked face recogniton based on FaceNet and ArcFace - Compare FaceNet and ArcFace perfomance. - Improve the performance ArcFace and Facenet in Masked Face Masked Face Recognition based on Facenet and ArcFace After done, make a simple report of the work.