Automate Age Verification with AI

If your business sells age-restricted products—whether it’s alcohol, tobacco, or any adult product—you know the importance of making sure your customers are the right age.

But how much time are you wasting on checking IDs manually?

For most businesses, manually verifying someone’s age takes time, creates long lines, and can lead to mistakes. These delays frustrate customers, and sometimes human error can get you into legal trouble.

The Challenge:

If you’re running a bar, an online store, or any business that sells age-restricted products, you’ve likely faced these challenges:

1. Manual ID checks slow you down – Having your staff manually check IDs takes time and can annoy customers.

2. Mistakes are easy to make – Even the best employees can miss a fake ID, especially in busy settings.

3. Strict rules on age-restricted sales – Legal requirements are serious, and fines for selling to underage customers can be damaging.

The Solution:

At Essentur, we developed AgeCheck Spotter, a smart tool to help businesses automate age verification. It’s an AI-driven system that’s fast, accurate, and works with your existing setup. Here’s how we’ve solved the problem for businesses like yours:

• Easy ID Upload: Customers can upload their ID right at checkout. No delays, no errors.

• Fast Facial Recognition: AgeCheck uses facial recognition to match the customer’s ID with their face, making sure they are who they say they are.

• Automatic Age Calculation: AgeCheck calculates the customer’s age and checks if they are allowed to buy the product.

The system works in real-time, giving you instant results, and helps you follow all legal rules without any manual effort. This way, your staff can focus on more important tasks, and you can feel confident that every sale is compliant.

Next Steps: Building a Semi-Autonomous Verification Flow

AgeCheck Spotter can also be the base for additional customisation in order to provide different actions based on the accuracy of the match between the uploaded ID and the customer’s photo.

This percentage-based system gives you more control without adding complexity.

Here’s how it could work:

• High Accuracy (85% and Above): If the facial recognition system confirms a match with over 85% accuracy, the purchase can be completed automatically. No need for manual intervention—your customer enjoys a smooth, quick checkout experience.

• Medium Accuracy (50%–84%): In cases where the match is between 50% and 84%, a notification could be sent to the customer asking them to double-check the photo they uploaded or provide additional verification. This could include asking the customer to take a live selfie or upload a clearer photo to improve the match. These steps ensure compliance while still giving the customer a chance to correct any issues.

• Low Accuracy (Below 50%): If the match falls below 50%, the system can notify the customer that their ID might not meet the required age criteria and suggest they seek consent from an adult to complete the purchase. This reduces the likelihood of errors while maintaining a seamless experience for eligible customers.

These accuracy-based layers protect your business while maintaining a seamless experience for eligible customers.

Watch Our Demo

Want to see AgeCheck Spotter in action? Watch the video below to see how easy it is to use and how it can save your business time and effort.

Real-Life Example: Online Store Simplifies Age Checks

Let’s say you run an online store selling age-restricted products like alcohol. With AgeCheck Spotter, your customers can upload their ID during checkout, get verified using facial recognition, and quickly complete their purchase. This saves your team from having to manually check IDs and ensures that every transaction follows the law.

Built with Cutting-Edge Technology

We used the latest tech to make sure AgeCheck Spotter is fast, reliable, and easy to integrate into your business:

Frontend:

• Vite, React, and Tailwind CSS for a fast, responsive design

• shadcn/ui for customizable and beautiful components

• Framer Motion for smooth animations

Backend:

• Flask for the API server

• OpenCV and face-recognition for fast, secure image processing

Public Documentation and Project URL

We believe in making our technology accessible. To help you implement AgeCheck Spotter or build your own version, we’ve created full documentation for this project. You can find all the code and detailed process information in our public project repository.

Explore the full AgeCheck Spotter documentation and source code here

Why This Matters for Your Business

Most customers will already be eligible to make a purchase based on the age they provide. However, adding an extra layer of security through automated age verification ensures that even edge cases are handled smoothly. By using the percentage-based verification, you can avoid unnecessary manual steps while staying compliant with age-restricted sales laws.

AgeCheck Spotter doesn’t just verify age; it streamlines the process while keeping your business safe from fines and legal issues. These laws and fines exist for a reason—to protect consumers and ensure that age-restricted products are used responsibly.

Whether it’s alcohol, tobacco, or other adult products, making sure these items don’t get into the wrong hands is not just about compliance—it’s about ethical responsibility. Our solution helps you follow the law, safeguard your customers, and make sure your products are useful without becoming dangerous.

And best of all, it does all of this without adding complexity to your customers’ shopping experience.