Computer Vision AI Detect Faces, Age, and Gender
Frequent Questions
This is an online demonstration of the asticaVision facial recognition api capabilities. It is capable of accurate face detection and identifies the gender and approximate age of all faces. Upload an image or take a photo to try the online demo, or try the developer API.
asticaVision - Computer Vision AI
asticaVision - Image Describing AI
This is a public preview of the asticaVision API. The image describing utility is intended to demonstrate the capabilities of the computer vision model.
It is capable of handling a variety of tasks including facial recognition, object detection and text recognition (OCR).
Note that the computer vision demo is available online for public access and as such it can experience additional delays and interruption unique from the developer API.
Vision AI - Model Version 2.5_full
asticaVision - Image Describing AI
The Web UI has been updated to demonstrate upcoming asticaVision model 2.5_full which provides complete backwards compatibility.
New Capabilities:
- Detect custom objects by supplying a list of keywords. Used to add additional context to Vision Chat AI, or to export bounding boxes for training custom vision models.
- Number of generated image tags has been increased.
- Increased consistency and accuracy of image descriptions.
- Incorporated OCR text recognition into image description for improved accuracy and WCAG compatible ALT tagging.
- Additional image captions now include bounding boxes associated to point of interest.
- Object detection improved to recognize a wider range of items and with greater accuracy.
- Ability to detect the colors of specific objects including custom objects (e.g. "red car")
Additional changes to the Web UI include:
- Increased supported file-size of the Web UI from 2.5MB to 10MB.
- Free cloud storage of image results for viewing from any device.
- Support for additonal image formats including jiff and bmp.
- Improved CSV and JSON exporting includes custom object annotations.
- Improved networking and response time of image description results.
- It is no longer necessary to keep the web page open while processing a large number of images or directories after uploading is completed.
The previous version of the Web UI will remain online. Previous image submissions are stored locally on your device and can be accessed by using the legacy version.
Use the Old Version:
Go to Legacy 2.0 Web UIPoint of Interest
asticaVision - Interactive Conversation
Refresh Chat Tokens
The interactive image conversation function is available for preview purposes. Chat tokens will be used for each message sent. Please get in touch if you require additional chat tokens during experimental preview.
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Click to add a photo to astica Vision AI
Click to Upload an Image
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Preparing Image Data
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Hide Upload Progress
This is a public demonstration of the asticaVision, an API that provides developers with the ability to incorporate computer vision into their projects and enables new possibilities.
View DocumentationFacial recognition technology leverages computer vision algorithms to identify and verify human faces in digital images and videos in real-time. This complex process involves three key steps. First, the technology detects human presence, followed by extracting and processing facial features. Finally, it compares the identified facial features against an existing database to find matching identities. The level of precision and speed achieved in this process highlights the remarkable progress made in the field of artificial intelligence and computer vision in recent years.
One of the major benefits of using facial recognition is the automation and high degree of accuracy it provides compared to traditional manual verification methods. Consequently, this results in enhanced security and time-saving across various areas like surveillance, access control, and finance. Industries such as healthcare, retail, and education are also using this technology to facilitate better user experiences.
Additionally, computer vision-based facial recognition offers privacy-respecting methods to analyze facial attributes, such as age and gender, for diverse applications. These demographic insights can help businesses better understand customer preferences, enabling them to offer tailored services and solutions. In the advertising field, for example, digital maгketing campaigns can be highly targeted, thus making them more effective and impactful.
While the growing utilization of facial recognition technology offers substantial advantages, it is crucial to use it responsibly, addressing privacy concerns and potential biases. To ensure ethical use, companies and governments must set robust governance frameworks and stay in tandem with evolving regulations. By doing so, facial recognition will continue to facilitate significant advancements in multiple fields, making our lives safer, more efficient, and enjoyable.
You are invited you to explore the capabilities of the asticaVision web tool, which demonstrates the power of computer vision in detecting faces, estimating ages, and identifying genders. Experience the future of identification and demographic analysis at your fingertips, and uncover the immense potential that computer vision holds for countless applications across various industries.
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