Vigilant FaceSearch Description
Examine more than 350 facial vectors from a suspect's image and implement a responsible, policy-driven method for facial recognition that yields quick leads by matching to a meticulously curated booking image gallery. Accelerate the identification of persons of interest through advanced facial cataloging and alert systems. Leverage license plate information to uncover valuable leads that can effectively resolve cases. Enhance crime-solving capabilities by extracting actionable insights from your data. The process of gathering public assistance for identifying wanted suspects can be quite lengthy. Vigilant FaceSearch evaluates over 350 distinct facial vectors to swiftly generate leads from a booking image database that is not only sourced from your department but also includes contributions from partner agencies and our proprietary collection, ensuring a responsible approach to facial recognition identification. In the realm of facial recognition, accuracy is crucial for successful outcomes. Furthermore, this innovative system allows law enforcement to work more efficiently, ultimately leading to safer communities.
Vigilant FaceSearch Alternatives
For developers, ARGOS Identity offers two APIs.
ARGOS ID Check (KYC/eKYC): launch the hosted Liveform from one URL in a browser or an iOS, Android or React Native WebView, or build your own capture UI on the Verify engine APIs. Your backend uses the REST API to fetch submissions, review pending cases, delete or partially delete data for GDPR and CCPA requests and download AML reports, and receives webhooks for created, submit, approved, rejected, updated, delete and AML result events. Each check reads the ID with OCR plus MRZ and PDF417 barcode checks, tests ID and selfie liveness, matches the face to the ID photo and screens the user against sanctions and PEP lists, with ongoing monitoring afterwards. Data is processed and stored in the region chosen for each project (US or South Korea), sensitive fields are encrypted with AES-256 at rest, and payload encryption is optional. A migration API imports existing verification records.
ARGOS Omni (Review Ops Agent): authenticate with an x-api-key header, create a profile under a workflow, upload files, text or JSON as items (PDF, DOCX, XLSX, PPTX, images, CSV, HTML, EML and more) and start an asynchronous analysis. The result follows the output schema you defined, with a verdict of verified, rejected or pending_review and the reasoning and source step for each extracted value, and every completed analysis can be downloaded as a PDF report.
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Sumsub is a single verification platform that allows you to onboard more customers worldwide, speed up their access, reduce costs, and fight digital fraud. Sumsub combines effective verification flows with higher conversion rates worldwide through a powerful, all in one suite designed for a wide variety of needs: KYC/AML verification, KYB verifications, payment fraud prevention and face authentication.
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Animetrics
An innovative facial recognition tool tailored for law enforcement and forensic experts has emerged, enabling the transformation of 2D images into detailed 3D avatars for precise facial feature overlay. The FaceR Identity Management Solution serves as a centralized system for advanced 3D facial recognition, leveraging Animetrics' FaceR technology. With a crucial demand for identifying suspects from various types of photographic evidence, including footage from surveillance cameras, law enforcement agents and forensic analysts require effective tools for accurate identification. Animetrics' latest offering, ForensicaGPS, empowers officers to recognize individuals even from low-resolution images or videos. This cutting-edge biometric solution incorporates sophisticated facial recognition capabilities to accelerate and enhance the accuracy of criminal inquiries. By converting flat, two-dimensional facial representations into three-dimensional avatars, ForensicaGPS significantly improves the precision of suspect identification, making it an invaluable resource in modern criminal investigations. Its development reflects a growing commitment to harnessing technology for public safety and law enforcement efficiency.
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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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Integrations
Company Details
Company:
Motorola Solutions
Year Founded:
2011
Headquarters:
United States
Website:
www.vigilantsolutions.com/products/facial-recognition/
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Business Hours
Online Support
Vigilant FaceSearch Features and Options
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