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Average Ratings 0 Ratings

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ease
features
design
support

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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

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 

Screenshots View All

Screenshots View All

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 

Product Features

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