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Description
A new artificial intelligence system has been developed to detect and respond to child sexual abuse material more efficiently, aimed at protecting victims at a faster rate. Utilizing real CSAM data, this AI effectively scans, identifies, and flags new images that depict child abuse with remarkable precision. In partnership with law enforcement and prominent Canadian universities, CEASE.ai employs a combination of neural networks and various AI models to achieve accurate detection of such harmful content. The system offers investigators a user-friendly plugin that allows them to upload images from their cases and run hash lists to filter out known content. Subsequently, the AI suggests potential labels and prioritizes images that may contain previously unseen CSAM. Investigators can then examine the flagged images, verify their illegal nature, strengthen their cases against perpetrators, and expedite the rescue of vulnerable victims. Additionally, social media platforms integrate with the CEASE.ai API endpoint, which processes all user-uploaded images in real time, ensuring that any content related to child abuse is swiftly identified and labeled by the system. This innovative approach not only enhances the efficiency of investigations but also contributes significantly to the protection of children at risk.
Description
CSAM Media provides a comprehensive online platform for managing medical images and videos, facilitating their collection, assessment, storage, and sharing. This system enables healthcare providers to quickly and securely access a centralized visual repository of images and videos. CSAM Media functions as a web-based application for diagnostic purposes, offering robust image management features, editing capabilities, and the ability to capture frames from various sources, such as cameras, video feeds, and mobile devices. It seamlessly integrates with all healthcare systems and medical apparatus utilized in outpatient, inpatient, and primary care settings, including electronic patient record systems. Distinctive features of CSAM Media enable users to annotate and modify images and videos; for instance, the text tool allows direct comments on visuals, while the freehand tool facilitates the measurement of graphic elements. Moreover, it provides the capability to juxtapose historical materials with new images and videos, enhancing the analytical process and ensuring a thorough examination of patient records. By streamlining these tasks, CSAM Media significantly improves the efficiency and effectiveness of medical imaging workflows.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Two Hat
Founded
2012
Country
Canada
Website
www.twohat.com/cease-ai/
Vendor Details
Company Name
CSAM
Founded
2005
Country
Norway
Website
www.csamhealth.com/solutions/medical-imaging/csam-media/
Product Features
Content Moderation
Artificial Intelligence
Audio Moderation
Brand Moderation
Comment Moderation
Customizable Filters
Image Moderation
Moderation by Humans
Reporting / Analytics
Social Media Moderation
User-Generated Content (UGC) Moderation
Video Moderation
Product Features
Medical Imaging
Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management