Capture The Shelf

Eyrene's patented technology accurately recognizes products, price tags, promos, equipment, POS materials, etc. All in real time, without manual intervention and without an internet connection. Cloud, Android, and iOS are supported, with a specific focus on budget devices.

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Fast, Accurate, Scalable, and Secure Technology

  • 1-2 seconds

    Average image recognition time on a modern budget smartphone, e.g. Samsung A30 or iPhone SE 2. No human intervention.

  • 96% SKU accuracy

    Product recognition accuracy at the SKU level, including correct category, brand, taste, size, etc. classification. Proven by daily accuracy checks and reported on a powerful accuracy dashboard. 

  • 98% price accuracy

    Reading both "dollars" and "cents" from price tags, printed and hand-written, in the range of $0.01 to $100,000.00. Proven by daily accuracy checks and reported on a powerful accuracy dashboard. 

  • 50M images / month

    Proven real-time image recognition throughput.

  • 15M images

    A typical product classification dataset size. Labeled with love and double-checked for the best accuracy.

  • 30K SKU

    A typical product catalog size.

Object Detection

Eyrene Image Recognition is trained to detect hundreds of objects such as products, price tags, POSMs, shelves, cabinets, etc. in a single image. Object detection in crowded scenes is know-how and Eyrene uses a lot of image preprocessing and annotation post-processing wisdom to achieve an optimal balance between precision and speed. 

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SKU and POSm Classification

Eyrene Image Recognition is capable to recognize the subtle differences between tens of thousands of unique products and promotional materials. Product category, brand, taste, and size are recognized for a wide variety of viewing angles, lightning and 

Price Tag OCR

Our price tag OCR is the one of the best on the market because it offers a fast and accurate solution for capturing data from price tags. This tool uses advanced computer vision algorithms to quickly and accurately recognize price tags from images, allowing you to quickly and easily generate accurate price information from product images. This tool is also very easy to use, requiring minimal training to get up and running. Additionally, our Price Tag OCR is highly accurate, offering a minimum of 97% accuracy rate for recognizing price tags. Finally, our Price Tag OCR is very affordable and offers a great return on investment.

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Panorama Stitching

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Fraud Detection and Image Quality Checks

Fraud Detection and Image Quality Checks in Image Recognition is a feature that helps to detect fraud. It performs image analysis to check for potential fraud and image quality issues, such as image manipulation, noise, blur, and poor resolution. 

Fraud Detection in Image Recognition works by analyzing an image and comparing it to a database of known fraudulent images. If the image is found to be similar to the fraudulent images in the database, the system will flag the image as potentially fraudulent. Image Quality Checks in Image Recognition uses algorithms to detect poor image quality, including noise, blur, and poor resolution. They can also detect images that have been altered or manipulated in some way, such as by changing the colors or sharpening the image.

At the Edge and in the Cloud

Eyrene Image Recognition is designed to run both on mobile devices, fixed cameras, and in the cloud. Flexible deployment options enable high performance and cost-efficiency in different applications.

📱 Mobile Devices

Eyrene Mobile Image Recognition runs on Android and iOS. It is optimized for budget devices with limited memory and CPU resources but also utilizes AI acceleration hardware if available. On-device recognition allows users to get fast and accurate results, regardless of whether the store has mobile internet.

☁️ Cloud Services

Eyrene Cloud Image Recognition is developed for high-performance cloud-based infrastructure. The full power of modern AI accelerators and Kubernetes orchestration is supported for the best cost efficiency and availability. Cloud recognition enables third-party integrations, whitelabel, and high scalability.  

📷 Internet of Things

The IoT deployment mode combines the advantages of mobile recognition and cloud services in order to process photos from smart connected cameras. Part of the recognition is performed on the camera itself to increase the speed of reaction to changes and reduce the cost of data transfer to the cloud.

Suitable for the Most Complex Product Categories

Eyrene has proven its effectiveness in the most difficult categories to recognize: sausage, ice cream, loose candies, snacks, etc.

Services Included

Eyrene Image Recognition comes with a bundle of important services such as Catalog Management, New Product Training, Quality Assurance, and Continuous Improvement.

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🖼️ Initial Image Labeling

We've spoken with hundreds of teams to build an internal labeling environment that can keep up with the most ambitious AI projects. Automation of labeling, unmatched control over annotation workflow, assistance in identifying data quality issues, and smooth pipeline integration are all features of Eyrene. Additionally, it has a user experience that is on par with our obsessive attention to detail and superior technical assistance. As a result, it guarantees high accuracy. 

🍭 Product Catalog Management

By enabling product data enrichment, you can improve your experience. Centralize product content so all necessary teams can view it from one location. Gather digital materials in a planned way. Automate content validation to guarantee adherence to technical and commercial rules. Decrease the number of mistakes in the product information.

⭐ New Product Training

Adding more photos of the products from different angles, lighting, and distances can help a neural network better recognize SKU. Additionally, adding photos that have the objects in cluttered environments, with objects of similar shape or size, can also help the neural network to recognize the objects better.

👍 Quality Assurance

There are still difficulties when it comes to analyzing, ensuring, and enhancing the quality or dependability of ML applications, despite the extensive assistance for developing them. The challenge arises from ML's special property that system behavior is formed from training data rather than from logical design by human engineers. This results in implementations that are black boxes and inherently flawed, invalidating many of the assumptions and methods used in conventional software engineering. In response to this, Eyrene has developed a set of standards for the quality assurance for its customers.

♾️ Continuous Improvement

Continuous improvement is about fostering, capturing, and utilizing personal knowledge from those who are actively involved regarding present processes and how to enhance them. It is essential to emphasize the enormous impact that even little process changes can have. 

Give Eyrene a Try

Contact us to learn more about Eyrene's mobile image recognition technology and receive a consultation.