Juicycode

Wu Di

wudi

Smart Gold Rail™ is an excellent tool that integrates multiple technical means to help operators better manage their books. It is designed from the perspective of operators and is conceived and developed around the core concepts of improving efficiency, reducing management costs and scientific bookkeeping.

The fresh food industry is highly competitive, and intelligent management has become a key means to improve efficiency and reduce costs. Traditional fresh food merchants rely on manual operations in financial management, order processing, and inventory control, which are prone to errors and inefficiency. This project aims to develop an intelligent management system for fresh food revenue. By integrating the latest information technology and data analysis methods, it will improve the management process of fresh food merchants and improve the quality of decision-making to meet market demand and consumer expectations. The design of the system fully considers the challenges and needs of the modern fresh food industry, especially innovative applications in financial forecasting, order processing, and data display.

Smart Gold Rail™ aims to enable merchants to customize and manage various products for different needs through efficient custom ledger and order management functions, support merchants to adjust product supply according to their own needs, and improve the efficiency of financial data management and transaction processing. Dramatically reduce the risk of over or under inventory with real-time market analysis and financial forecasting. Merchants can leverage this comprehensive solution to optimize operations, make informed purchasing decisions, focus on strategic growth, and cultivate more resilient, profitable business models.

Smart Gold Rail™ obtains massive amounts of real-time market data through web crawlers, automatically organizes and summarizes them, and stores them in a MongoDB database. Users can then configure training and use them to predict changing trends. The basic core function of Smart Gold Rail™ is the ledger, which extends the intelligence of the program with the ledger as the core. Functions such as data graphics technology and advanced order management bring users an extremely efficient productivity experience.

Zhao Zhibing, Wu Di

Juicycode Team

Data Genius AI ™ is a data processing program that deeply integrates various machine learning algorithms provided by the sklearn library and performs highly refined processing of data sets. Data Genius AI ™ enables rapid analysis of data sets, obtains visualization, and uses models to predict future trends.

With the advent of the big data era, data has become the core resource of all walks of life. From industrial manufacturing to medical health, from financial technology to intelligent transportation, huge values ​​are contained in massive data. Data analysis and mining are the key to unlocking these values. More and more companies and organizations are paying attention to the importance of data-driven decision-making in improving business efficiency, reducing costs and innovative development. Therefore, developing an efficient, easy-to-use and intelligent data analysis tool has important practical significance and market demand.

Data Genius AI™ is a data set analysis program with multiple functions to meet the needs of different users in processing, analyzing and mining data value. By simplifying the data preprocessing process, enhancing data visualization capabilities, introducing AI recommendation algorithms and model reuse, this project will help users analyze data more efficiently, thereby better coping with complex and changing business environments and competitive pressures.

Zhao Zhibing, Wu Di

Juicycode Team

TEXT SCULPTOR ™ is a summary extraction program developed by Juicycode using the Transformers architecture and trained on the BART model.

With the rapid development of artificial intelligence and deep learning technology, significant breakthroughs have been made in the field of natural language processing. Text summarization, as an important natural language processing application, has the ability to distill a large amount of text information into concise points, thus saving reading time and improving the efficiency of information acquisition. In many fields, such as news reports, scientific research papers, corporate reports and other scenarios, text summarization technology has a wide range of application value and market demand.

The aim of this project is to design and implement a text summary extraction program based on a pre-trained BART model to achieve efficient and accurate English summary extraction by using Transformers architecture and fine-tuning training techniques. The project adopts a user-friendly interface written in PyQt5, which implements the functions of training management, history viewing and visualization, and model testing to meet the needs of different users in the process of text summary extraction. Meanwhile, the project adopts multi-threading technology to avoid interface blocking and ensure the program responds quickly.

TEXT SCULPTOR ™ Fine-tuned training based on summary extraction pre-trained models such as bart-large-cnn, bart-base, etc. to optimize model performance for specific usage scenarios. In the source code, a GPU (dedicated graphics card) is used to train the model. It is known that training cannot be completed when the dedicated memory of the GPU is lower than equal to 6GB.

Zhao Zhibing, Wu Di

Juicycode Team

With the rapid development of digitization and intelligence, intelligent recognition systems based on computer vision have been widely used in various fields. Among them, collection management and conservation is an area of great significance. The OpenCV-based Collection Treasure Intelligent Visual Recognition Management System (ArtIQ ™) aims to provide fast and accurate recognition and management of RMB and commemorative banknotes using computer vision technology.

ArtIQ ™ provides automated management and fast identification. While traditional manual identification of RMB and commemorative banknotes is time-consuming and laborious, the system utilizes OpenCV to implement an automated visual identification function, which can quickly and accurately identify the serial number and coin type, improving management efficiency. The system can record and store the recognized information, which can provide a large amount of data for the organization and facilitate statistics and analysis. Through the statistics of different coins and serial numbers, the organization can better manage and protect the precious collections of RMB and commemorative banknotes, etc., and improve the level and effectiveness of collection management.

ArtIQ ™ is developed in Python and the image processing functions are implemented using various functions from the OpenCV computer vision library. The software GUI is developed using PyQt5. The system is equipped with RMB and commemorative coin recognition function, which can quickly locate the RMB and obtain the parameters such as width, height, color, etc., intercept the set area and perform template recognition. "Color", "Template" and "Aspect ratio", which represent color recognition, template recognition and horizontal/vertical recognition respectively, are used by the system to identify RMB and commemorative coins. The system performs color, template and aspect recognition on the RMB image to get the final recognition conclusion in a weighted way. Based on ORB feature extraction, SVM is used to classify and recognize the commemorative coins.EAST is used to locate the serial number in the commemorative coins and then Tesseract is used to identify the serial number. There is complete access and storage management for the recognized image information.

The GUI is equipped with dynamic adjustment of weights, weight switch, output content control, dynamic adjustment of front and back recognition binarization parameters, dynamic adjustment of template recognition sensitivity, and matching rule switch, and at the same time, it is equipped with the function of embedding the window to display the "Final Recognition View", the "Original View before Correction", and the "Binarization Real-time Processing View" view, and can display one of the above three views by switching. At the same time, it has the function of displaying "Final Recognition View", "Original View before Correction" and "Binarization Real-time Processing View" embedded in the window, and it is possible to display one of the above three views by switching. The "Open All Views" toggle option is also available, allowing the user to open all process views, including image cropping. In addition, there is a real-time work output window that prints recognition results and system prompts in real time.

The system also has a real-time warning system that can identify potential errors based on the user's parameter modification behavior. When the user's adjustment of weights results in the weight of one weight being greater than the sum of the weights of the other two weights, a prompt window will pop up, and the user only needs to click on the "√" button to restore the parameter to the recommended parameter and solve the problem. You can also close the prompt by clicking the "X" button and choose to ignore the prompt until the next startup of the recognition.

In order to control the stability of the light source and background during the recognition, we have customized the "Juicycode Environment Control Light Box", which is equipped with three light source modes, namely yellow light, pure white light and yellow-white mixed light, and supports 12-step gradient light intensity adjustment. The light box is equipped with a light-absorbing cloth and a camera slot, which provides the most stable recognition environment and improves the accuracy of the recognition. The light box is equipped with light-absorbing cloth and camera slot, which can provide the most stable recognition environment and improve the recognition accuracy.

Zhao Zhibing

Juicycode Team

Project no longer maintained

Function Creator 2022 ™ is a language authoring and development tool that uses speech recognition to generate functions and customize code content. It is equipped with two types of speech recognition functions, Exact Speech Recognition and Regular Fuzzy Speech Recognition. It was conceived from the beginning as a highly open and portable development software.

Function Creator 2022 ™ features API parameter modification, global settings and customized recognition libraries; API parameter modification allows users to modify API information to maintain high program availability. Global settings include a fuzzy recognition switch and language settings for Mandarin, English, and Cantonese, as well as IDE language modifications, with a high level of support for both Chinese and English. The custom recognition library essentially expands the upper limit of the program's usability. Customized recognition feedback, customized precise recognition statements, and customized regular fuzzy recognition rules allow the user to customize the program to the fullest extent possible and make full use of the program's functionality.

Function Creator 2022 ™ has a built-in Help Center, which helps users to quickly learn about the program's use and the API interface, aiming to reduce learning costs and provide additional support to users. In addition, the program has a rich set of basic editing functions such as drag-and-drop text reading, history, statistics, and so on.

In order to facilitate developers to build functions using only the visual interface, the new "MyoKey" feature is added, which can be experienced by importing programming language libraries, binding custom libraries or downloading programming language packages online, and configuring the "MyoKey" in the Settings Center.