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.
Mobile App to include integration with Facial Recognition API
The purpose of the app is to allow users to conduct basic background checks on potential hires within the blue collar labor space in Africa. Categories of blue collar hirers include Domestic help, personal drivers, gardeners, lesson teachers, washmen, mechanics etc.
Hiring decisions for the cadre of staff that have the closest access to one's family is today done...
using matlab, the project has to recogzise the face of the person and it has to allow the user to select the images for recognizion using the database. it should also provide an option for random selection of selecting the images and recognizing the person.