Face Recognition is an advanced technology determining human faces through digital images or videos. Put simply, it’s a computer algorithm that can identify a specific person’s face. By using facial recognition, businesses and organizations are able to automate the process of identifying and authenticating individuals for purposes such as admission control, surveillance, people counting and biometric identification. With years of experience and a portfolio full of case studies of successful projects, a Face Recognition Expert can help any client, from small start-up companies to large corporations, develop effective solutions to meet their particular needs.
Here's some projects that our expert Face Recognition Experts made real:
- Developing facial recognition systems on Raspberry Pi platforms
- Building advanced tools for facial recognition, speech detection and reporting
- Troubleshooting head pose estimation algorithms
- Creating computer vision solutions for home assistants
- Programming software for biometric devices
- Designing and deploying facial recognition engines
- Transferring learning and fine-tuning pre-trained models on existing datasets
Employing Face Recognition technologies can improve accuracy and efficiency in both front-end and back-end operations. Today, with the trend of contactless interactions due to the current pandemic situation, having access to Facial Recognition technologies can help minimize the risk of human contact while significantly increasing productivity.
If you're looking to make use of Face Recognition technology in your products or services, don't hesitate to hire an expert here on Freelancer.com. With an ever-growing pool of experts specialising in this area - armed with top tier qualifications and experienced portfolios - we'll make sure you find the perfect fit for your project.From 8,819 reviews, clients rate our Face Recognition Experts 4.86 out of 5 stars.
Hire Face Recognition Experts
I'm looking for a fast and robust face detection for mobile Android. The detection should be for multiple faces simultaneously and must have a robust tracker. I'm currently using mlkit, and looking for a faster and better option. Please send a link to your demo. Please start your msg with the words: "I have a demo to show you!"