• Train




          Data Collection

          Building Blocks​

          Device Enrollment

          Monitoring Dashboards

          Video Annotation​

          Application Editor​

          Device Management

          Remote Maintenance

          Model Training

          Application Library

          Deployment Manager

          Unified Security Center

          AI Model Library

          Configuration Manager

          IoT Edge Gateway

          Privacy-preserving AI

          Ready to get started?

          Expert Services
  • Services
        • Resources



          Why Viso Suite?

          The Viso Blog

          About Viso

          Evaluation Guide

          Explore Use Cases


          Viso Suite Whitepaper

          Industry Reports

          Support Center

          ROI Impact Study

          Technology Guides


          Security & Trust


          Why Viso Suite

          Viso Suite is the most advanced no-code computer vision platform to build, deploy and scale your applications. It is trusted by leading Fortune Global companies.

  • Pricing

Product Detection

Product detection uses deep learning to detect different product types automatically.

In the rapidly evolving retail landscape, there is an increasing need for automated product detection capabilities. Visual product recognition is a popular computer vision application that analyzes camera video streams to localize, detect and classify different product items or product types.

The ability to automatically detect products provides a wealth of opportunities for retailers to increase operational efficiency and save overall costs.


The Need for Product Detection Technology

In stores, warehouses, and shops, thousands of products are moving in and out daily. Keeping track of these items manually is time-consuming and prone to errors; manual methods are inconsistent and slow.

Product recognition technology provides new technologies for retailers to innovate and address key pain points in the retail industry:

  • Manual Product Identification: Traditional methods of product identification rely on manual scanning or human intervention, which can be time-consuming, prone to errors, and inefficient.
  • Out-of-Stock Situations: When products are not readily available on store shelves, customers may become frustrated.
  • Shrinkage and Theft: Retailers face losses due to theft, shoplifting, and employee fraud.
  • Inefficient Inventory Management: Poor inventory management can result in excess stock, leading to increased holding costs, product obsolescence, and markdowns.

Product detection methods automate the process of identifying and classifying products using AI algorithms with deep learning. Such systems provide consistent 24/7 operation at higher accuracy.


Use Cases of Product Detection

Product detection technology has a wide range of applications in the retail industry. Here are a few examples:

  1. Inventory Management: With product detection, retailers can keep real-time track of their inventory, reducing the chances of stockouts or overstocking.
  2. Checkout Systems: Automated checkout systems can use product detection to identify items quickly and accurately, speeding up the checkout process and improving customer satisfaction.
  3. Loss Prevention: By monitoring the store in real-time, product recognition can help identify potential theft or misplaced items, enhancing store security. Such AI systems help increase the success of randomized self-checkout theft controls.
  4. Data Analytics: Retailers often lack detailed insights into product performance and customer behavior. Product recognition technology provides valuable data on these aspects, helping retailers make informed business decisions.


Business Value Proposition

When used at scale, product detection technology provides significant benefits:

  • Efficiency: By automating the product identification process, businesses can save time and resources.
  • Accuracy: Product Detection reduces human error, ensuring accurate inventory and pricing.
  • Customer Satisfaction: Faster checkout times and accurate inventory lead to a better shopping experience, increasing customer satisfaction and loyalty.

Technical Viewpoints

Product Detection technology leverages advanced computer vision techniques. These include:

  • Image Recognition: This is the process of identifying and detecting an object or feature in a digital video.
  • Deep Learning: This involves training artificial neural networks on a large amount of data, enabling them to recognize patterns and classify images.
  • Edge AI: Distributed systems to process real-time computer vision workloads at the edge to comply with data privacy regulations.
  • Custom Training: The ML models are custom trained to detect a range of products automatically.


In conclusion, Product Detection is a game-changer for the retail industry. By automating the process of product identification and classification, it offers a host of benefits, from improved efficiency and accuracy to enhanced customer satisfaction.

Viso Suite provides a powerful platform to build, scale, and customize product recognition systems. The computer vision platform is built for teams to reuse existing security cameras and integrate with other systems seamlessly.

Last updated
June 15, 2023
Requires Viso Suite

How to get started

This solution is built on Viso Suite, the all-in-one computer vision platform to deploy, run and scale the solution with powerful tools and infrastructure.

To get started, request a personal demo, we will put together a plan that includes all the services you need to get started.

You are in good company
PwC Logo

Other Solutions

Analog Instruments Reading
Computer Vision application to read analog dials such as gauges, digital displays, and warning light colors using cameras.
Computer vision for mechanical controls recognition
Product Detection
Product detection uses deep learning to detect different product types automatically.
Pothole Detection
Automated detection of potholes with AI vision
YOLOv8 applied in smart cities for pothole detection.
Play Video
Would you like a demo?

See how your team can build your real-world AI vision systems faster with our end-to-end solution.