Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The NtechLab platform is designed to analyze video content, identifying human faces, bodies, actions, vehicles, and license plates with impressive precision. Utilizing advanced AI technology, it achieves exceptional speed and accuracy, setting new standards for recognition capabilities. The FindFace Multi system enhances this by offering multi-object recognition and analytical features, which are particularly beneficial for both public sector applications and various business needs. This technology enables swift and precise identification of faces, human forms, cars, and license plates in real-time video feeds or archived footage. Users can search through databases or archives not only by image samples but also by distinctive characteristics such as age, clothing color, or vehicle type. The dedicated team at NtechLab is continually refining these recognition algorithms to boost their effectiveness and precision further. With FindFace Multi, the process of detecting a face in live video, recognizing it, and finding a corresponding match in a vast database can be accomplished in under a second, making it an invaluable tool for real-time surveillance and analysis. Furthermore, this rapid response capability ensures that users can act promptly on the information gathered, enhancing security and operational efficiency.
Description
SightRadar is a cloud-based API designed for developers who want to integrate facial recognition capabilities such as search, comparison, and detection into their applications. It allows users to index faces from images into collections that they manage, search these collections using selfies, perform one-to-one face comparisons for verification, and detect faces with high accuracy and confidence. The API is designed to be compatible with AWS Rekognition, meaning it can accept similar request and response formats, enabling developers to seamlessly direct their AWS SDK clients to the SightRadar endpoint. With SDKs available for Python and Node/TypeScript, as well as a REST API, developers have flexible options for implementation. Potential applications range from managing photo galleries for events and weddings to facilitating identity verification during onboarding processes, and organizing media libraries, all adhering to consent-based practices. Images used for detection are processed in memory, and the indexed face embeddings remain within collections that customers can choose to delete at any time. The pricing model is based on the number of photos processed, with additional fees applied for storing face vectors, ensuring that developers only pay for the resources they utilize. This comprehensive service provides an effective solution for various identity verification and media management needs.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Amazon Rekognition
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$0.00062/photo
Batch processing is $0.00062 per photo; real-time is $0.00093 per photo. Face-ID searches cost $0.00062 each; storage is $6 per million face vectors monthly, prorated daily. Usage is prepaid in USD credits, with no subscription or minimum usage. Paid top-ups start at $10; higher account-specific purchase minimums may apply.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
NtechLab
Founded
2015
Country
Russia
Website
ntechlab.com/findface-multi/
Vendor Details
Company Name
SightRadar
Founded
2026
Country
India
Website
sightradar.com
Product Features
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
No
Emotion Recognition
Facial Emotions
No
Facial Expression Analysis
No
Machine Learning
No
Photo Emotions
No
Speech Emotions
No
Video Emotions
No
Written Text Emotions
No
Product Features
Alternatives
Alternatives
No Alternatives