Audience
Companies in need of a facial recognition solution
About FaceMe
Designed for smart surveillance, FaceMe® Security is a value-added solution that runs on PC, workstations, servers, and integrates into VMS (video management systems). It detects individuals within a crowd through their face and can identify them by matching the live capture with profiles kept in a database, even for people wearing a mask. It also displays their body temperature, detects anyone not wearing a mask properly over their nose and mouth and highlights block-listed people. It can send real-time alerts to security personnel or other people in the organization. FaceMe® Security Central compares the extracted facial templates with the database in order to confirm identity. It also provides a web-based console to manage the Microsoft SQL based face database, configure IP cameras, and inform relevant personnel about registered visitors, VIPs, block-listed people, or employees entering each monitored area.
Other Popular Alternatives & Related Software
Face SDK
Facial and body recognition library for server, mobile and embedded solutions requiring image and streaming video processing:
- Face Identification and Verification. Search for face matches, 1:N identification and 1:1 verification scenarios
- Real Time Video Processing. SDK components enable face detection, tracking and matching from video stream in real time
- Face Quality Control. Dozens of quality checks such as head rotation, blur, flare, face size, eyes and mouth openness, and more
- Face Landmarks. Detect size, pitch, roll, yaw, and up to 468 facial landmarks
- Gender, Age, Emotions Recognition. Detects 7 basic human emotions on photos or video stream
- Passive and Active Liveness. Comprehensive Liveness Detection algorithms against face or video spoofing
Learn more
Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
Learn more
Lambda Face Recognition API
Sign up now to start using Lambda’s facial recognition & detection API. Though the online tool, input a URL and we’ll tell you if it contains any celebrities. You can also use the form provided to test out our face detection API. Send us a picture and we’ll tell you if it contains faces, where those faces are, and the location of facial features (eyes, nose, mouth). You’ll be calling the API using your Mashape Key. You’ll need to sign up for our API to get your key. An album is a set of labeled images. Albums are used to recognize new images that haven’t been seen yet. Let’s create our first album. Give the album a few labeled images to work with. The more images you give it, the more accurate the model will be. Note, you can give us either urls or files. Tell the album to build a model itself using the labeled images. Give the album an image to recognize. You can see that there are two options, urls and files.
Learn more
Oz Liveness
Oz Liveness is a leading facial recognition and authentication software used by private and public organizations across the globe to lower the risk of biometric fraud by preventing deepfake and spoofing attacks with 100% accuracy.
The technology has been validated by the industry’s most rigorous testing standard, ISO 30107-3 iBeta level 1 and 2 certifications. It helps organizations validate they are dealing with a real person within seconds, lowering compliance and fraud risks.
Oz Liveness features advanced algorithms able to detect many forms of biometric spoofing, including 3D and 2D masks and photos along with photos or videos displayed on a mobile or a laptop screen.
On-device Liveness detection and face biometry checks allow to use of a phone as a personal biometric device. No data is sent to the server from the device and stays in the customer's hands. On-device Liveness is perfect in any customer’s use case, improving the reachability and stability of the services .
Learn more
Integrations
Company Information
CyberLink
Founded: 1996
Taiwan
www.cyberlink.com/faceme
Videos and Screen Captures
Other Useful Business Software
Build Data Resilience - Take the Assessment Today
Is your recovery strategy as strong as you think? Take this quick self-assessment to check your recovery readiness and gain tailored insights. In only 2 minutes, you'll learn where you fall on the recovery readiness scale.
Product Details
Platforms Supported
Windows
Linux
iPhone
iPad
Android
Training
Webinars
Videos
Support
Online
