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Deepengin offers a robust suite of video and image moderation API solutions, leveraging sophisticated computer vision models to detect and filter unwanted content across photos, videos, and live streams. Aimed at businesses seeking to maintain content security on digital platforms, its functionalities include detailed content moderation capabilities like facial and celebrity recognition, text detection, and personal protective equipment identification. These technologies support near real-time processing, displaying attributes including gender and emotions while accommodating extensive content workloads with ease of integration, privacy-focused operations, and adherence to RESTful standards. Extensive applications are found across social media, video-sharing, and live streaming platforms.
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Efficient image and video moderation handling large volumes
Simple integration with user-friendly SDKs and documentation
Automated moderation ensuring data privacy and confidentiality
Nudity detection and filtering of explicit content
Detection of harmful content such as weapons, alcohol, and narcotics
Offensive gesture recognition for inappropriate actions
Hate symbol detection for identifying offensive signs
Celebrity recognition identifying numerous individuals
Text detection in images for text extraction
PPE detection for identifying personal protective equipment
Real-time facial similarity detection
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Utilize Deepengin to filter out inappropriate user-generated content.
Ensure community guidelines and user safety through thorough content moderation.
Moderate e-learning content to guarantee it's appropriate for learners.
Employ real-time moderation to prevent the broadcast of harmful material.
Align uploaded content with brand standards and legal requirements.
Integrate Deepengin into apps for seamless moderation capabilities.
Safeguard brand reputation by maintaining content appropriateness.
Implement moderation tools to enhance user experience and safety.
Employ video analysis to detect safety threats or compliance issues.
Streamline live content moderation during events or broadcasts.
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