Winmore Digital AI Vision: Smart Weighing for Retail Scale

Winmore Digital AI Vision: Smart Weighing for Retail Scale

Welcome to Winmore Digital! We understand that in the fast-evolving retail scale environment, efficiency and accuracy are the cornerstones of your success. By reading this article, you will:

1. Winmore Digital: Simplifying Retail with Excellent AI-powered Smart Products

1.1 Winmore Digital’s Positioning

We are dedicated to “Innovating Retail With Our Highly Efficient AI Solution,” empowering Original Equipment Manufacturers (OEMs), POS system suppliers, and retail stores with retail scale AI solutions. We provide efficient, AI-powered technology that helps boost your business’s profitability through its simplicity and outstanding return on investment in the retail scale sector.

 

1.2 Our AI Solutions for Retail

Winmore Digital focuses on the innovative application of AI-powered vision recognition technology in the retail sector, offering a range of solutions:

2. Industry Background: Checkout Challenges for Non-Standardized Goods

In retail stores, standardized goods (e.g., pre-packaged items) can be quickly scanned at checkout using barcodes. However, for non-standardized goods like fresh produce, bulk foods, and seafood, traditional checkout methods often rely on manual identification and input of PLU codes or product names. This is not only inefficient and prone to errors but also a major cause of customer queuing. How to achieve fast and accurate checkout for non-standardized goods has been a persistent pain point that the retail scale industry urgently needs to address.

3. iScale Intro

3.1 Product Basic Information

Winmore Digital’s iScale solution fundamentally transforms traditional weighing processes through advanced AI vision recognition technology. It can automatically identify goods and retrieve PLU codes, eliminating the need for manual input. We leverage deep learning algorithms to achieve precise and rapid identification of non-standardized goods, significantly enhancing checkout efficiency and accuracy across the retail scale.

How does our iScale work? Simply place the item on the weighing pan, and the system will automatically trigger recognition (or it can be set to trigger recognition by manually clicking the “Recognize” button). The recognition result will then immediately appear on the screen. From there, you have two options:

4. iScale Product Core Functions and Advantages

4.1 Unlimited Categories, Full Coverage

Whether it’s vegetables, fruits, snacks, dried goods, seafood, or meat, iScale supports identification. Our AI-powered algorithm works similarly to human vision; as long as a human eye can see it clearly, iScale can identify it. This includes precise identification of bagged goods and highly similar items. Even when packed in common semi-transparent bags found in retail scale environments, our AI vision recognition algorithm can still accurately and quickly identify them. Even identical apples, differing only by origin, can be precisely identified by using small distinguishing labels.

4.2 Supports Mass SKUs

iScale supports the identification of tens of thousands of SKUs, far exceeding the number of non-barcoded SKUs in typical stores (usually no more than 3,000). At the same time, it also supports the identification of multiple items under a single SKU. For example, lollipops of different flavors often share the same PLU code, but their packaging colors vary to represent different flavors. We can support such “one product, multiple styles” scenarios. Due to our understanding of real-world retail scale business scenarios, we have designed various features to meet complex and diverse retail needs. Furthermore, our database has been pre-trained with over 200 kinds of fresh produce and 2,000 kinds of retail items, allowing our AI vision recognition product to directly identify common goods from the initial launch, enabling rapid deployment.

4.3 99% Recognition Accuracy

We provide product recommendations through AI vision recognition, with an accuracy rate of up to 99% for including the correct item in the recommendation list. As the system learns and is used over time, the proportion of unique recommendation results can reach over 90%, ensuring high efficiency and low error rates. Such a high recognition rate makes weighing non-standardized items simpler than ever across the retail scale.

4.4 0.1-second Extreme Recognition Speed

iScale can complete product recognition inference within 0.1 seconds, and this does not rely on high-end chips or powerful network computing. Even without providing additional computing services, using high-end chips, or relying on a network, we can still achieve this high-speed recognition. This is thanks to our algorithm optimization, which enables our algorithm to quickly perform AI recognition on the most ordinary equipment, perfect for any retail scale operation.

4.5 Local Recognition, Supports Offline Use

Through specialized optimization, iScale fully supports stable operation in a completely offline environment, performing data processing, model inference, and critical business logic execution without continuous network connection. Furthermore, the system also has the capability for new product training in a local environment, allowing users to iterate and optimize models using locally collected data without internet access, achieving personalized recognition and adaptive learning. This feature is crucial for countries and regions with weak network infrastructure, unstable network coverage, or high-latency issues. It effectively avoids business interruptions caused by network outages or congestion, ensuring the stability of retail scale operations.

4.6 Simple Offline New Product Training Capability

The entire new product training process requires only one photo to complete, making it simple to operate, time-efficient, and low-threshold.

In contrast, traditional AI chip training models generally rely on cloud completion, requiring the collection of a large number of photos of items from multiple angles and under various lighting conditions, which are then uploaded to servers. This leads to long training cycles, cumbersome processes, and unstable training effects due to network and manual annotation influences. The iScale’s localized smart training solution completely changes this situation, achieving efficient, agile, and sustainably evolving edge AI, truly making AI implementation simpler and more practical for the retail scale.

We adopt advanced neural network algorithms and innovatively support model iteration and algorithm upgrades in local offline environments. All training and optimization processes can be completed on the terminal device without relying on cloud transmission, ensuring data security while significantly improving response speed and system availability. This is particularly suitable for scenarios with poor network conditions or high data privacy requirements.

In actual operation, the new product training process is extremely simple and efficient, requiring only three steps:

1. Automatic photography: Place the new item in the device’s weighing area, and the system will automatically trigger a shot, acquiring a clear image of the item.
2. Item matching: Retrieve and select corresponding item information from the local database via the item name or code (item data can be pre-imported in bulk into the device).
3. Confirm binding: Click to confirm the selected item, and the system will complete the recognition model training for that item.

Therefore, our algorithm can also achieve rapid self-optimization in an offline state, enhancing its adaptability within a retail scale environment.

4.7 Low Hardware Requirements, High Compatibility

Our algorithm was designed from the outset with full consideration for the diversity of actual deployment environments and cost control needs. Therefore, while ensuring high-performance recognition accuracy, it achieves extremely low computational power consumption. The deeply optimized model architecture and efficient inference engine allow the algorithm to run smoothly on mainstream low-to-mid-range chip platforms widely used in industrial control, smart terminals, and self-service equipment, such as RK3288 and J1900. CPU, GPU, and memory resource occupation remain at extremely low levels.

This advantage means that customers do not need to purchase expensive high-performance hardware or undertake large-scale equipment upgrades to deploy smart recognition functions. Whether for the intelligent transformation of old stores or the construction of low-cost retail scale solutions in emerging markets, iScale can achieve “low-threshold” access, significantly reducing overall project investment. At the same time, low computational power requirements also lead to lower power consumption and less heat, which helps improve equipment stability and service life, reducing maintenance pressure.

4.8 Cross-Platform Compatibility

The iScale solution boasts excellent cross-platform compatibility, fully supporting mainstream operating systems such as Windows, Android, and Linux, catering to diverse application scenarios from embedded systems to server environments. For the technical characteristics and operating mechanisms of different platforms, we provide deeply optimized adapted versions to ensure stable data processing and transmission on various devices. Whether it’s Windows-based industrial control terminals, Android-running smart terminals, or servers or edge computing devices deployed in Linux environments, iScale can achieve seamless integration without extensive modification to existing hardware architecture, making it ideal for diverse retail scale setups.

4.9 Convenient System Integration and Cloud Management

We provide a complete set of well-documented API interfaces and SDK development toolkits, fully supporting various mainstream programming languages and development frameworks. This is complemented by detailed integration guides, rich sample code (Demo Code), and reference implementations for typical application scenarios. These resources significantly reduce the complexity of system integration, helping system integrators quickly understand interface logic and efficiently complete functional docking. With the cooperation of a technical team, it typically takes only a few days to complete the entire process from environment setup, interface debugging, to joint debugging and online deployment, significantly shortening project cycles and accelerating product implementation and deployment for any retail scale. Additionally, we provide professional technical support services to ensure a smooth and worry-free integration process.

4.10 Cloud Management and End-to-End Data Synchronization

Our AI-powered weighing solution adopts an end-to-end system architecture, enabling seamless data synchronization across devices. This approach is highly suitable for multi-device and multi-store environments, ensuring smooth integration and adaptability in various operational scenarios, critical for retail scale operations. Specific synchronization methods include:

Single-Store Local Area Network Device Synchronization

5. Why Choose Winmore Instead of Building Your Own

For hardware manufacturers, independently developing AI vision recognition algorithms often faces three major challenges: high R&D costs, lengthy development cycles, high technical barriers, and difficulty in obtaining large numbers of training data samples. Winmore Digital’s AI retail scale solution helps partners avoid these risks, providing：

To ensure consistent algorithm performance in diverse environments, Winmore Digital provides a comprehensive and flexible service framework for the retail scale:

• Multiple Delivery Options
  • Professional SDK and Demo Code, out-of-the-box applications, servers with algorithms, and plugins to meet diverse development needs.
• Cross-System Compatibility
  • Supports Windows, Android, and Linux systems, ensuring smooth integration with existing infrastructure.
• Integration and Optimization Support
  • Standardized SDKs and APIs simplify deployment and can be fine-tuned based on partner data.
• Data Training Services
  • Professional data annotation and training processes continually improve performance in specific retail scale scenarios.

6. Who Are Our Target Customers?

Winmore Digital is committed to growing with the following types of partners in the retail scale sector:

AI Scale Hardware Manufacturers: Such as Bizerba and Teraoka, who can introduce our AI-powered algorithms to achieve all-in-one AI recognition smart scales.

Large Retail Enterprises: Such as Walmart, SPAR China, and RT-Mart, who can optimize existing smart weighing equipment or newly purchased devices by using our AI recognition algorithms, improving operational efficiency.

Retail POS Companies: Who can integrate our AI recognition capabilities to provide terminal stores with an “checkout + recognition” overall solution, enhancing their product competitiveness.

7. Flexible Deployment Options

To meet the diverse integration needs of customers, Winmore Digital provides flexible and varied delivery solutions for the retail scale:

8. Frequently Asked Questions (FAQ)

How is product information transmitted to the AI recognition system?

We provide professional scale transmission tools and detailed interface descriptions, which can automatically retrieve existing product information from designated folders, efficiently and accurately transmitting it to the AI recognition system, ensuring data consistency for the retail scale. We also support manual upload methods such as Excel or CSV for data transfer.

Does Winmore Digital offer all-in-one devices?

Winmore Digital focuses on the research and development and delivery of AI vision recognition algorithms and does not directly produce hardware. However, we can introduce you to our close partners who have successfully integrated our AI recognition algorithms to form mature all-in-one smart weighing solutions.

9. How to Get Started?

Ready to revolutionize your retail scale business with AI-powered smart weighing?

• Step One：Appointment
  • Schedule an appointment with our product experts immediately. We will provide a customized demonstration and free trial, allowing you to experience the excellent performance of iScale firsthand.
• Step Two：Implementation
  • System Integration Guide: We will provide detailed system integration guides and technical documentation to ensure you can smoothly integrate iScale into your existing systems.
• Step Three：Technical Support and Training:
  • Our professional technical team will provide full support and customized training to ensure your team can fully utilize the full potential of iScale.

Contact us now to embark on your new chapter of smart retail!