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Face Recognition Jobs
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 9,979 reviews, clients rate our Face Recognition Experts 4.8 out of 5 stars.Hire Face Recognition Experts
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 9,979 reviews, clients rate our Face Recognition Experts 4.8 out of 5 stars.Hire Face Recognition Experts
AI-Devlopment, Event Photo/Video Sharing Website
5 days left
Full Stack Website Development – AI Event Photo & Video Sharing Platform Project Overview I am looking for an experienced Full Stack Developer or Development Team to build a complete AI-powered Event Photo & Video Sharing Platform similar in functionality, workflow, user experience, and overall quality to FotoOwl.ai. Reference Website: Important Note: The reference website is provided only to demonstrate the expected features, workflow, and user experience. The final product must be developed with original code, original UI/UX, and custom branding while delivering equivalent functionality. --- Project Goal Develop a modern, scalable platform where photographers, studios, event organizers, and businesses can upload event photos/videos, and guests can instantly access t...
$22
Average bid
Improve Face Recognition Accuracy
3 days left
I have a Flutter-based face-recognition attendance app that I pieced together from a GitHub repository. It works, but not well enough: in mixed indoor/outdoor lighting it sometimes mistakes one person for another, runs sluggishly on mid-range phones, and even crashes on occasion. Current stack: Flutter front-end calling the original repo’s model. Deployment setting: mixed environments—classrooms, corridors, and sometimes outdoors—so the pipeline must handle variable light and background noise. My goal is clear: a rock-solid solution that delivers at least 99 % identification accuracy. I’m open to revising or replacing the existing pipeline, whether that means retraining with FaceNet, switching to TensorFlow Lite, integrating OpenCV + Python via a native bridge...
$97
Average bid
I have a single, jumbled library of digital photos spread across cloud accounts and old backups. Your mission is to pull every original file down, sort the entire set by who appears in each image, and build a separate album for every individual. All pictures are mixed together right now—no folders, no tags—so the work starts from scratch. Once the files are downloaded, I want them organised so that: • Each person has a dedicated folder/album named clearly. • Photos with multiple people appear in every relevant album (non-destructive copies). • Original resolution, EXIF data, and dates remain intact. • The final library sits in an easy-to-navigate master directory I can sync to the cloud or copy to an external drive. Feel free to use face-recognition...
$658
Average bid
Fintech Loyalty Mobile Apps
1 day left
My Laravel-based backend and full REST API set are live; what I need now are the customer-facing Android and iOS apps that sit on top of them. The experience must feel modern and sleek, consistent with a premium fintech brand. Core functional scope • Apple Wallet & Google Wallet integration: users add an NFC loyalty card, then – see their current points balance – pay in store with points through NFC tap – review the card’s transaction history • Face-payment enrolment: a short flow that captures the user’s face once and stores the template. • Standard account tools: profile management, send / receive points between members, activity log and notifications. Technical notes – Backend endpoints, auth tokens and Swagger docs...
$1088
Average bid
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