FindFace Description
NtechLab platform processes video, recognizes faces, bodies, actions, cars, and plate numbers. AI-powered technology allows for record breaking accuracy and speed of recognition. FindFace Multi's multi-object and analytic capabilities open up new possibilities for addressing public sector and business challenges. FindFace Multi recognizes faces, bodies, cars, license plates, and other information in live video streams or archives. You can search for faces, bodies, or vehicles in a database, or in an archive, using a photo sample or by specific features, such as age, clothing color, vehicle model, or gender. NtechLab developers continue to improve recognition algorithms, increasing their accuracy and performance. It takes less than a second for FindFace Multi to recognize a face in a stream of video and then search for it in a database that contains billions of images.
FindFace Alternatives
IntelliVision
IntelliVision facial recognition software searches a database of faces and compares them to the scene to find a match. Face Recognition detects faces within the camera's field-of-view - up to 15 at a time - and matches them with faces stored in the database. Anti-spoofing is achieved by "liveness" testing, which does not require a stereo or 3D camera. Faces can be entered into the database using either existing still images or the video camera. IntelliVision's License Plate Recognition has matured over many years of use. It takes into account variables like movement and high speeds that are natural to vehicle monitoring.
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Amazon Rekognition
Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety.
Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.
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Betaface
We provide a variety of ready-made components, including SDKs for face recognition, alongside tailored software development services and cloud-based web solutions, all concentrating on the analysis of images and videos, as well as the recognition of faces and objects. Our advanced technology serves diverse sectors such as video and image archives, online advertising, entertainment initiatives, media content creation, video surveillance, security software, and both end-user and B2B software developers. The Betaface facial recognition suite encompasses a wide array of intricate processes, ranging from basic face detection to comprehensive face recognition, which includes identification, verification, and various matching techniques (1:1 and 1:N). Additionally, it facilitates biometric measurement, face and feature tracking in videos, and recognizes attributes such as age, gender, ethnicity, and emotions, while also analyzing skin, hair, and clothing colors, as well as hairstyle shapes. Our technology is widely adopted across multiple industries including archives for video and images, as well as projects in web advertising and entertainment, ensuring a significant impact on how visual content is managed and utilized.
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Cloudastructure
Provides a real-time, integrated perspective of numerous locations accessible from any device while offering historical data retrieval up to ten times quicker than traditional on-premises solutions. This innovative cloud-native video surveillance system incorporates AI and computer vision analytics, enhancing the efficiency and affordability of enterprise security measures. By removing potential security vulnerabilities, it ensures that no video or data is stored or accessed across the network. Additionally, it drastically cuts down on IT server management and upkeep expenses compared to on-premises or hybrid models. The platform streamlines site management and enables centralized oversight, accommodating an unlimited number of locations and cameras. Cloud-based video surveillance solutions are designed to be user-friendly, making setup, management, and installation straightforward without requiring specialized technical expertise. Furthermore, it includes sophisticated features for detecting vehicles and individuals, counting and classifying them, as well as recognizing license plates and identifying wrong-way movements. Users can efficiently search for social distancing violations, gaining insight into the number of people present in a given area and their physical spacing. Consequently, this comprehensive solution not only enhances security but also promotes safer environments through intelligent monitoring.
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Pricing
Free Trial:
Yes
Integrations
API:
Yes, FindFace has an API
No Integrations at this time
Company Details
Company:
NtechLab
Year Founded:
2015
Headquarters:
Russia
Website:
ntechlab.com/findface-multi/
Media
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Product Details
Platforms
SaaS
Types of Training
Training Docs
Live Training (Online)
In Person
Training Videos
Customer Support
Business Hours
Online Support
FindFace Features and Options
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