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What is VeriLook SDK?

VeriLook SDK offers outstanding facial recognition features that are ideal for both independent and client-server biometric solutions. Emphasizing security, access control, and identity verification, it performs matching efficiently in both 1-to-1 and 1-to-many configurations with remarkable speed and accuracy. Its adherence to ISO 30103-7 standards for liveness detection effectively prevents spoofing, ensuring that authentic faces are differentiated from photographs. The SDK can identify multiple faces at once, skillfully handling partially obscured faces, and can extract various attributes like age, gender, facial hair, eyewear, and emotional expressions. It works effectively with images taken in visible or near-infrared light, providing consistent accuracy even in changing lighting conditions and diverse head angles. Developers can seamlessly integrate VeriLook using languages such as C/C++, C#, VB .NET, Java, or Python, across various operating systems like Windows, Linux, macOS, iOS, and Android. Throughout its impressive twenty-year journey of global implementation, VeriLook has proven to be a reliable and flexible solution for developers, enabling the creation of advanced biometric applications tailored to contemporary security demands. Its extensive track record further solidifies its standing as a preferred option in the realm of biometric technology, appealing to those seeking innovative and robust security solutions.

What is Lambda Face Recognition API?

Sign up today to start using Lambda's facial recognition and detection API. Our platform allows you to simply input a URL to check for celebrity appearances in images. You can also try out our face detection API; by uploading a photo through the provided form, we will identify any faces present, mark their locations, and highlight features like the eyes, nose, and mouth. To use the API, you will need to obtain a Mashape Key, which involves registering for our service. Creating an album to store a collection of labeled images is crucial for improving the recognition of new, unseen images. Let’s kick off your first album by adding several labeled images to enhance accuracy. The more images you contribute, either through URLs or file uploads, the better the model's effectiveness will be. After you upload these images, guide the album to create a model based on your selections. Finally, when you submit an image for recognition, you can choose to use either URLs or files, which will significantly increase the flexibility of your image recognition capabilities. This streamlined process ensures that you can quickly adapt and refine your approach to image analysis as needed.

Media

No images available

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Has API

Pricing Information

€339.00
Free Trial Offered?

Pricing Information

$9 per month

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS
iPhone
iPad

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
On-Site Training

Company Facts

Organization Name

Neurotechnology

Date Founded

1990

Company Location

Lithuania

Company Website

neurotechnology.com

Company Facts

Organization Name

Lambda

Date Founded

2012

Company Location

United States

Company Website

lambdalabs.com/face-recognition-api

Categories and Features

Facial Recognition

Not specified

Categories and Features

Facial Recognition

Not specified

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