Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
The Sentinel system incorporates the sample container and cassette to capture an image of both the tissue and the label on the container. It continuously monitors the usage of containers and cassettes to prevent any potential mix-ups of specimens. During the transfer of tissue into the cassette, the Sentinel efficiently identifies, measures, and photographs each tissue piece. A gross report is automatically generated using the laboratory's specific template, which the technician reviews and subsequently adds to the patient’s records. In less than a second, the Sentinel precisely locates, measures, and images the tissue as it is placed into the cassette. Its measurements are notably more accurate and reliable compared to those taken manually by technicians. Additionally, the system produces visually appealing, full-color reports that include a gross description, details of the patient and clinician, as well as images of the container, its label, and the cassette itself, ensuring comprehensive documentation of the specimens. This advanced technology enhances the overall efficiency and accuracy of the specimen handling process.
API Access
Has API
Yes
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
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
No
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Two Hat
Founded
2012
Country
Canada
Website
www.twohat.com/cease-ai/
Vendor Details
Company Name
VistaPath Biosystems
Founded
2017
Country
United States
Website
www.vistapathbio.com
Product Features
Content Moderation
Artificial Intelligence
No
Audio Moderation
No
Brand Moderation
No
Comment Moderation
No
Customizable Filters
No
Image Moderation
No
Moderation by Humans
No
Reporting / Analytics
No
Social Media Moderation
No
User-Generated Content (UGC) Moderation
No
Video Moderation
No