![]() With facial recognition technology becoming more accessible and widespread, more and more companies are utilizing it for their security. This could lead to potential misuse and unauthorized access with breaches or violations to the system. There are several privacy concerns that emerge through its use as well, since it captures and stores an individual's biometric data. It’s important to train such systems with data that’s diverse to prevent an underrepresentation of certain demographics. There’s also bias surrounding its functioning as previous performance has shown higher error rates for women, children, and people with darker skin tones. This includes any glasses, hats, facial hair, piercings, etc. Different occlusions can affect it as it may not be used to it with its given datasets. Its accuracy is limited when it’s made to scan faces in conditions with poor lighting or variations in facial expressions. There are a few limitations that facial recognition technology has that should be considered when using it. What are the potential limitations of using facial recognition technology? Hotels can use facial recognition to greet you by name and retailers can offer personalized recommendations based on purchase history.Ĭan be used to identify individuals during emergency situations when some go missing or need aid from disasters.Ĭan be used to verify identities when traveling to detect illegal trespassing and improve security altogether.Ĭan be used to track attendance in areas to eliminate the need for manual tracking. Helps to identify suspects from images or videos at crime scenesĬan be used to personalize an experience. I have already listed some throughout the blog post, but to go more in detail, here’s a list of some more instances:Ĭan be used to gain access to buildings and facilities by recognizing faces There are many more algorithms to cover, but if I went too in depth we’d be here forever! What are specific use cases for facial recognition technology? ![]() When extracting facial features from an image or video, Euclidean Distance is used to measure the distance between them and compares the results to other potential matches to find one that’s the most similar. Keep in mind that the k value indicates how many neighbors are considered.Įuclidean Distance: This is used as a distance metric to measure the similarity between vectors, normally representing the shortest distance between two. Based on distance metrics, the algorithm is used to find the k most similar faces which serve as the “nearest neighbors” and assign an identity to the given input face based on them. K-Nearest Neighbors (KNN): KNN is used when matching or identifying images or videos. Types of algorithms that facial recognition technology could use in terms of machine learning include: * It’s important to keep in mind that this isn’t the case for all facial recognition technology, and that all of them differ with their processes. It does so by balancing between false positives (when it incorrectly identifies a face) and false negatives (when it fails to identify a face that should match). It then makes a determination on the given image, either matching it with another similar image or categorizing it into groups of gender, age, etc.įinally it sets a decision threshold to determine the accuracy and validity of the image in its chosen categorization. The algorithms look for similarities between the images during this step. Then the extracted face template is then compared to a database containing other images or templates of known faces. Next it extracts key facial features to create a numerical representation which can be done with machine learning algorithms, geometric measurements, or texture analysis. It then aligns facial features based on position, scale, or rotation to provide an accurate comparison between other images and faces. ![]() It first detects a face in an image or video, which can be done through algorithms helping to analyze patterns and features. Here’s a simple overview walking through its process: Through analyzing facial features from images, facial recognition technology can utilize various algorithms and patterns to analyze and compare facial patterns, creating a source of automated identification. How does facial recognition technology work? It’s used as a way to identify identities for the sake of security and authentication. Facial recognition technology is essentially a type of software technology capable of matching human faces and features to digital images.
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