Products
Products
Video Hosting
Upload and manage your videos in a centralized video library.
Image Hosting
Upload and manage all your images in a centralized library.
Galleries
Choose from 100+templates to showcase your media in style.
Video Messaging
Record, and send personalized video messages.
CincoTube
Create your own community video hub your team, students or fans.
Pages
Create dedicated webpages to share your videos and images.
Live
Create dedicated webpages to share your videos and images.
For Developers
Video API
Build a unique video experience.
DeepUploader
Collect and store user content from anywhere with our file uploader.
Solutions
Solutions
Enterprise
Supercharge your business with secure, internal communication.
Townhall
Webinars
Team Collaboration
Learning & Development
Creative Professionals
Get creative with a built in-suite of editing and marketing tools.
eCommerce
Boost sales with interactive video and easy-embedding.
Townhall
Webinars
Team Collaboration
Learning & Development
eLearning & Training
Host and share course materials in a centralized portal.
Sales & Marketing
Attract, engage and convert with interactive tools and analytics.
"Cincopa helped my Enterprise organization collaborate better through video."
Book a Demo
Resources
Resources
Blog
Learn about the latest industry trends, tips & tricks.
Help Centre
Get access to help articles FAQs, and all things Cincopa.
Partners
Check out our valued list of partners.
Product Updates
Stay up-to-date with our latest greatest features.
Ebooks, Guides & More
Customer Stories
Hear how we've helped businesses succeed.
Boost Campaign Performance Through Video
Discover how to boost your next campaign by using video.
Download Now
Pricing
Watch a Demo
Demo
Login
Start Free Trial
AWS Rekognition is an AI-based service that provides deep learning capabilities for video and image analysis. When combined with hosted videos, AWS Rekognition allows for automatic analysis of video content to detect objects, activities, faces, and inappropriate content, offering businesses valuable insights into their video assets. This integration can be used in applications such as content moderation, security surveillance, and media asset management. Setting Up AWS Rekognition for Video Analysis Before integrating Rekognition with hosted videos, it's necessary to set up the AWS Rekognition service and configure it for video processing. AWS Rekognition processes videos stored in Amazon S3 and allows users to analyze them for various use cases. Prepare Video for Rekognition Upload the Video to S3 : Store the video in an Amazon S3 bucket. This will be the video that Rekognition will analyze. Configure Video Properties : Ensure that the video format and size are compatible with Rekognition. Rekognition supports various video formats, including MP4, MOV, and AVI, and can process videos of up to 100GB. Example : Upload video to S3 aws s3 cp video.mp4 s3://your-bucket-name/video.mp4 Analyzing Videos with Rekognition AWS Rekognition offers two main video analysis features: Content Moderation and Label Detection . Both features are based on Rekognition’s pre-trained machine learning models that can detect various attributes and provide insights into the video content. Start Video Analysis To analyze a video, use the AWS SDK or AWS CLI to initiate the analysis process. The video file will be processed asynchronously, and Rekognition will return results upon completion. Example : Start label detection for a video using AWS CLI aws rekognition start-label-detection \ --video 'S3Object={Bucket=your-bucket-name,Name=video.mp4}' \ --notification-channel 'SNSTopicArn=your-sns-topic-arn' \ --region us-west-2 Explanation: start-label-detection : The AWS Rekognition operation to analyze the video for labels. video : Specifies the S3 bucket and video file to be analyzed. notification-channel : The SNS topic to which Rekognition sends the completion notification. Retrieving Analysis Results Once the video analysis is complete, you can retrieve the results through AWS SDKs or by querying the status of the analysis job. Results typically include detected objects, activities, and facial features, depending on the specific analysis task chosen. Example : Retrieve the results of the label detection operation aws rekognition get-label-detection \ --job-id 'your-job-id' \ --region us-west-2 Explanation: get-label-detection : This retrieves the results of the video label detection. job-id : The unique identifier for the video analysis job, which was returned when the analysis was started. Using Rekognition for Real-Time Video Processing For real-time video analysis, AWS Rekognition also supports streaming video from an IP camera or live source, allowing immediate insights into the live stream. By integrating Rekognition with AWS Kinesis Video Streams, you can process live video for object detection, facial recognition, and more. Example : Integrating with Kinesis Video Streams aws rekognition start-stream-processor \ --stream-processor-name 'RealTimeProcessor' \ --region us-west-2 Explanation: start-stream-processor : Starts the video stream processor for real-time analysis. stream-processor-name : The name of the Kinesis stream processor, which handles live video data. Use Cases for AWS Rekognition Video Integration Content Moderation : Automatically scan videos for explicit or offensive content to ensure compliance with content guidelines, especially in user-generated content platforms. Facial Recognition : Identify and track faces in videos for security or personalization purposes. Activity Recognition : Detect specific actions or activities, such as 'running,' 'fighting,' or 'crowd gathering,' to monitor video content for specific events. Object Detection : Detect objects such as 'car,' 'person,' or 'dog' in videos, providing metadata that can be used for categorizing content. Best Practices for Using AWS Rekognition with Videos Optimize Video Quality : Rekognition’s accuracy is improved when video quality is high. Use higher resolution videos to ensure better results. Limit Video Duration : When processing large videos, consider breaking them into smaller chunks for more efficient processing. Monitor Costs : Video analysis on large files or large numbers of videos can incur significant costs. Monitor and manage your usage with AWS Cost Explorer.
Video Hosting
Image Hosting
Galleries
Video Messaging
CincoTube
Pages
Live
