Skip links
Atriina

Shop KYC Verification Model

This model seamlessly integrates advanced deep learning technologies to enhance efficiency and streamline the KYC verification process for FMCG customers. It simplifies shop verification by using advanced image classification to verify the authenticity of shop images, ensuring that the verification process is secure, efficient, and reliable.
Book a Free Demo Call

scroll down
to know more

Successful Product Development and Launches by Atrina for

Accurate Shop Identification

The API ensures that only valid shops are recognized, preventing irrelevant or incorrect submissions, thus enhancing the reliability of the KYC process.

Real-Time Image Capture

Capture images of shops in real time, allowing for instantaneous verification.

Advanced Image Recognition

Leverages machine learning to classify shop images accurately, ensuring seamless verification of shops, even in challenging scenarios.

Fraud Prevention

Detects and prevents fraudulent attempts by blocking incorrect images of objects, random places, or unrelated entities, ensuring the integrity of the KYC process.

Customizable Solution

Adaptable for FMCG industries, offering flexibility to cater to various use cases such as shop verification, closed shop validation, shop name extraction, etc.

Common Issues Faced by Sales officers

Sales officers may accidentally submit incorrect images, such as irrelevant objects or blurry images, causing delays in the verification process and frustration for both the verification team and the customer.
  • Blurry Images: Images too unclear to verify a shop.
  • Self-Portrait Images: Sales officers submitting their own images instead of shop images.
  • Irrelevant Images: Submission of random objects, such as bags or keyboards.
The verification team often deals with large amounts of image data, making manual inspection challenging and time-consuming.

Features We Provide

Capture real-time images during each punch-in attempt, ensuring that only valid human faces are processed.
Utilize the Haar Cascade Classifier to ensure only valid human faces are detected and analyzed, maintaining system integrity.
Each user is initially registered by training the system with 50-100 images captured via the camera. This creates a unique facial profile for the user.
Prevent unauthorized punch-ins by rejecting invalid images, objects, or incorrect faces, ensuring that only the legitimate user gains access.

Why Choose Our Shop KYC Verification Model?

Efficient and Cost-Effective

Save time and reduce costs by automating the verification process, minimizing manual intervention.

High Accuracy

Our solution ensures accurate and reliable shop identification, reducing verification errors and ensuring valid transactions.

Seamless Integration

Easily integrate our API with your existing system for quick deployment and minimal training.

24/7 Availability

Our system operates round the clock, ensuring uninterrupted verification services.

Customizable

Get a custom model builded by letting us train the model on the images submitted by you according to your business requirements.

Our System Can Serve a Wide Range of Industries

FMCG and Retail

Automated shop verification for product distribution and retail operations.

Sales Management

Sales officers can validate shop presence and status efficiently.

Distribution Networks

Enhance supply chain verification by confirming the authenticity of shop locations.

Government Programs

Ensure shop verification for public distribution systems or welfare schemes.

This API seamlessly integrates advanced deep learning and generative AI technologies to enhance efficiency and streamline the KYC verification process for FMCG customers. It simplifies shop verification by using advanced image classification to verify the authenticity of shop images, ensuring that the verification process is secure, efficient, and reliable.

Get Free Quote

    Contact Us

    Visit on google maps