Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
Learn more about Amazon Rekognition
ModerateContent
Trusted across the internet to protect communities against offensive content. With an API that couldn't be easier to integrate into your website, app or platform. Analyze an anime (animated) image and rate it for the appropriateness of it's content for a type of audience - adult, teen, everyone. Tags images with detected labels. Detects names any visible anime characters. Detects copyrights (if any) of image content. Analyze text and return any bad words founds for 27 languages, also returns cleaned version of the text. Analyze an image and return the text found in the QRcode. Analyze an image and rate it for the appropriateness of its content for a type of audience - adult, teen, everyone.
Learn more about ModerateContent
CEASE.ai
Artificial intelligence to detect new child sexual abuse material & save victims faster. Trained on real CSAM, our AI scans, identifies, and flags new images containing child abuse with unprecedented accuracy. Built in collaboration with law enforcement and leading Canadian universities, CEASE.ai is an ensemble of neural networks using multiple AI models to accurately detect images containing child abuse. Investigators access an easy-to-use plugin, upload case images, and run their hash list to eliminate known images. Then, they let the AI identify, suggest a label, and prioritize images that contain new, never-before-seen CSAM. From there, investigators review flagged images, confirm they contain illegal content, build their case against offenders — and rescue innocent victims faster. Social platforms send all user-uploaded images to the CEASE.ai API endpoint. From there, CEASE.ai identifies and labels any images containing child abuse, and sends a response — all in real time.
Learn more about CEASE.ai
Safer
Safer helps stop the viral spread of CSAM material across your platform. Keeping your team, your company, and your users, safer. Increase team efficiency and wellness. Break down silos and leverage community knowledge. Identify known and unknown CSAM with perceptual hashing and machine learning algorithms. Queue flagged content for review with content moderation tools built with employee wellness in mind. Review and report verified CSAM and securely store content in accordance with regulatory obligations. Broaden your protection efforts to identify known and potentially new and unreported content at the point of upload. The Safer community is working together to find more abuse content. Our APIs are built to broaden the shared knowledge of child abuse content by contributing hashes, scanning against other industry hashes, and sending feedback on false positives.
Learn more about Safer