The article was first published in # Advanced use of Chevereto V4: Adding image review and child pornography detection mechanism, please indicate the source when reprinting.
Chevereto V4 is an excellent image sharing and storage platform that provides a clean and user-friendly interface and powerful features. However, ensuring the security and legality of shared image content is a serious issue. Therefore, in order to allow webmasters to avoid sanctions on their image hosting services due to the upload of images that violate public morals and laws by malicious individuals, we need to introduce an effective image review and child pornography detection mechanism. This blog post will provide a detailed introduction on how to add image review and child pornography detection mechanisms in Chevereto V4.
1. Image Review#
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Enable Image Review
First, we need to enable the image review feature in the Chevereto admin panel. This can be found in
Settings->Image Upload. Once enabled, all uploaded images will require manual review by the administrator before being published. -
Image Review Process
When users upload images, these images will appear in the "Pending Review" list. Administrators can view these images and choose to approve or reject them. If an image is rejected, the system will automatically delete the image and send a notification to the uploader.
2. Child Pornography Detection Mechanism#
For the detection of child pornography content, we need to use some AI tools, and here we can use the built-in child pornography detection API provided by ModerateContent in Chevereto V4.
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Enable AI Tools
ModerateContent has provided a RESTful API and integrated it into Chevereto. First, we need to get a free API Key here.
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Configure Detection Parameters
Then, in the Chevereto admin panel, go to Settings -> External Services.
Enable ModerateContent and enter the API Key we just obtained, and we're done.
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Automatic Detection Process
When users upload images, the system will automatically call the AI tools for detection. If child pornography content is detected, the system will automatically reject the image and send a notification to the uploader.
Note#
ModerateContent's free trial is limited to 10,000 images per month. If you have more requirements, you need to upgrade to Pay As You Go. Detailed pricing can be seen in the following figure.
Summary#
With the above steps, we can add image review and child pornography detection mechanisms in Chevereto V4. This can effectively protect the rights and interests of users and prevent the spread of inappropriate content. However, such mechanisms cannot completely replace human judgment, so administrators still need to regularly review the system's judgments.
This is a complex but important process, and we must always remain vigilant to ensure the security and health of our online space. We also look forward to more technologies and tools that can help us manage and review image content more effectively, achieving true intelligence and automation.
More FAQs#
1. How to handle false positives?
When AI tools make false positives, they can be corrected through manual review. If a tool has a high false positive rate, consider adjusting its configuration parameters or switching to other more accurate AI tools.
2. How to prevent malicious users from repeatedly uploading inappropriate images?
Restrictions can be added in the user management system, such as frequency limits for uploading images or limits on the number of images uploaded at once. For users who frequently upload inappropriate images, warnings, mutes, or bans can be applied.
3. What should be done if a user disagrees with the review result?
A complaint mechanism can be established, allowing users to appeal and provide feedback on their disagreement with the review result. When receiving a complaint, administrators should review the relevant images again and provide a reasonable response.