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.雇佣 Face Recognition Experts
A system that faces recognition check the time of arrival and Departure of people. We also want to be able to add or delete an employee. i need to use jetson nano the camera detects a face it will check if the person is in the system and if so, it will retrieve the date, the name of the person and the time it detected him. If this is the first time this is detected today, an arrival time will ...
Looking for tested/tried AI based Facial Recognition and Facial Verification Software code
Hi, We already developed facial recognition in Android, iOS, Desktop applications. We used MTCNN for face detection and Mobilefacenet ([登录来查看链接]). We achieved recognizing person face in android around 3 seconds. We want to improve speed in less than 2 seconds without server processing , without classifiers and should run only on local device. First we will achieve this time in python and our part...
We are using one OpenSource Libraries for Face Recognisation using Tensorflow and Facenet. Currently in Android it storing data in List and gets cleared once App is closed. How we can save the Face Object to Local Android Storage So we can reuse the data
I have one Android App Source using Tensorflow Lite and Mobile Facenet. Currently its storing data in Flash memory and deleting once App is closed. I need someone who can start right away and do couple of changes in App