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What is CEASE.ai?

A groundbreaking artificial intelligence system has been introduced to more effectively identify and address child sexual abuse material, with the goal of safeguarding victims more rapidly. By utilizing actual CSAM data, this AI adeptly scans, identifies, and flags new images that portray child exploitation with impressive accuracy. Collaborating with law enforcement agencies and leading Canadian universities, CEASE.ai harnesses a mix of neural networks and diverse AI models to ensure precise detection of such harmful material. The system provides investigators with an intuitive plugin that enables them to upload images from ongoing cases and utilize hash lists to exclude known content. Following this, the AI proposes possible labels and prioritizes images that could contain previously unrecognized CSAM. Investigators are then able to review the flagged images, confirm their illicit nature, bolster their cases against offenders, and hasten the rescue of at-risk victims. Moreover, social media platforms connect with the CEASE.ai API endpoint, allowing for the real-time processing of all user-uploaded images, which ensures that any content associated with child abuse is quickly identified and classified. This innovative methodology not only improves the efficiency of investigations but also plays a vital role in the ongoing effort to protect vulnerable children, ultimately contributing to a safer online environment for all.

What is Amazon Rekognition?

Amazon Rekognition streamlines the process of incorporating image and video analysis into applications by leveraging robust, scalable deep learning technologies, which require no prior machine learning expertise from users. This advanced tool is capable of detecting a wide array of elements, including objects, people, text, scenes, and activities in both images and videos, as well as identifying inappropriate content. Additionally, it provides accurate facial analysis and search capabilities, making it suitable for various applications such as user authentication, crowd surveillance, and enhancing public safety measures. Furthermore, the Amazon Rekognition Custom Labels feature empowers businesses to identify specific objects and scenes in images that align with their unique operational needs. For example, a company could design a model to recognize distinct machine parts on an assembly line or monitor plant health effectively. One of the standout features of Amazon Rekognition Custom Labels is its ability to manage the intricacies of model development, allowing users with no machine learning background to successfully implement this technology. This accessibility broadens the potential for diverse industries to leverage the advantages of image analysis while avoiding the steep learning curve typically linked to machine learning processes. As a result, organizations can innovate and optimize their operations with greater ease and efficiency.

Media

Media

Integrations Supported

Integrations Supported

AWS AI Services
AWS App Mesh
Amazon Augmented AI (A2I)
Amazon Web Services (AWS)
BotCore
Descope
Orange Logic
Qrvey
Quickwork
SightRadar
Trendzact
Unremot
Visionati
n8n

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Two Hat

Date Founded

2012

Company Location

Canada

Company Website

www.twohat.com/cease-ai/

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/rekognition/

Categories and Features

Content Moderation

Not specified

Categories and Features

Computer Vision

Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration

Content Moderation

Not specified

Deep Learning

Not specified

Emotion Recognition

Not specified

Facial Recognition

Not specified

Image Processing API

Not specified

Image Recognition

Not specified

Liveness Detection

Not specified

OCR

Not specified

People Counting

Not specified

Session Replay

Not specified

Video Annotation

Not specified

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