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.De 11582 comentarios, los clientes califican nuestro Face Recognition Experts 4.75 de un total de 5 estrellas.
I am a researcher in sociology based in Paris, France. I am conducting research on data annotation work done on face data. I am looking for people with experience annotating or collecting or producing face images for AI/ML datasets, in order to conduct paid interviews (approx. 1 hour). The idea would be to talk through videoconference. The remuneration would be through the platform.
We have a flutter application for our official use. In that, we need to add some functionality. For these requirements, we are looking for a flutter developer who can fulfill our following requirements. Please check out our exact requirements for our module. App Module includes 2 processes: 1] Get the landmark from the face of the user and store it in an offline mobile database 2] On the 2nd visit of the user, show the front camera to the user for face comparison. a] If process 1 landmark equals process 2 landmarks then authenticate user b] if not then show a message 3] We are targeting 2 to 4 seconds time for face recognition with liveness detection Note: comparison must be done with live face and not with gallery images or photos. If you can develop the above module then provide me...