A typical security system that uses face recognition software will allow you to see exactly who is on the other side of your door before you let anyone in.
It also lets you see if they are attempting to break in before you even get out of your car or home. This Artificial Intelligence software can determine if people are friends or family members that are not on the homeowner's insurance policy, or if they are trying to break into your house. You can take a picture of the person that the software has identified to help police if the need arises. Verdict: Kairos can recognize a human's face and do many different things like blink, smile, and move their head to make the interaction between the two easier.
Another key point in facial recognition software is the ability of it to interact with a user's natural expressions. Currently, there are a couple of different technologies in place that are used to enable the user to tell when they are happy, sad, angry, or anything else. You will have the added benefit of being able to set your mood and have the computer constantly monitor how you feel so that you can better control your emotions.
Verdict: Trueface can recognize the patterns of faces and "tag" these faces so that the owner or users of the computer can be identified.
Some of the other important milestones achieved by Trueface include being able to "remember" names and faces, and being able to "recognize" people by their voice. The facial recognition software works by analyzing a person's eye movements. When an individual blinks, the eyes will flicker. Essentially, the computer is taking the human motion and applying it to the Trueface database, which is comprised of millions of different human eyes.
Verdict: Animetrics allows for the iris scans of humans to be uploaded into a central database that can be accessed by law enforcement agencies, doctors, and nurses for a variety of reasons. In a fusion center, a number of iris scanners usually twenty-six total are installed in a large room that holds an enormous amount of data. If you want to secure your data, you may need to use laptops with a fingerprint reader.
A technician is stationed at the front desk who synchronizes the databases of all of the local departments. The information that is fed into the central database is used to populate the applications of computer systems that are linked to hundreds of different databases. When a person applies for a job in one of the various industries that have been augmented with the biometric data of the applicant such as security guards and delivery drivers , the system will match the fingerprint scan of that person with the iris scan of the person seeking work.
Verdict: Clarifai has been making high-quality facial recognition software that makes it easy for any consumer to use. It doesn't matter if you need a simple identification search, or you need a full facial recognition software program.
Detect and recognize faces in your images and videos with our AI-enabled technology. It provides the location of the detected faces, and can perform facial matches to find target subjects. Additionally, you can gather demographic information of people. Detect and identify information like the year, make and model of vehicles from any angle. Our model also provides interior and exterior views of the vehicle. Allows for auto-tagging of images and provides conceptual context information of your media.
Our model returns the list of the most relevant concepts and a confidence score associated to each prediction. Detect and recognize brand logos in images and video.
We provide the coordinate locations of the logo plus the name of the brand with an associated confidence score. Get the most visually similar objects in your images with visual search.
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Custom computer vision software can be developed and integrated with your specific infrastructure. Our APIs can be deployed on local servers to comply with high-security environments and air-gapped systems running within your platform.
We serve AI at the edge, to enable higher data privacy levels and to serve our APIs in infrastructure constrained and limited connectivity environments. Face recognition is a complex issue, especially when you combine it with age estimation and gender identification. Whether you need to analyze photos or videos, your best bet is to implement a ready-to-use solution. We are experts when it comes to image recognition. We are obsessed with accuracy, optimization, flexibility and speed.
If you need your software to recognize real people, definitely try our EyeFace Demo. Get cutting-edge accuracy without wasting your time. You will find the integration surprisingly easy. Our fast algorithms will find all visible human faces in your image or video, even in low resolution.
The library is intended for real-time use with video streams. The applications are limitless: targeted advertising, person counting, profiling or entrance systems. Programmers can include these functions easily into their software and utilize the full potential of video stream or bitmap analysis. Our team has been developing face detection and face recognition methods for over 10 years.
Currently we are using detectors based on sequential classifications that allow for extremely fast data evaluation. We construct our sequential detectors using the automated learning method based on WaldBoost algorithm. This algorithm, on the basis of a wide series of images millions positive examples, billions negative examples finds the optimal decision rule, which maximises both the detection success and the speed of evaluation.
Because of this unique process our detectors are extremely fast and precise.
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