Group FLUX - User Usage Survey Report

User Feedback Summary: Software Advantages and Features

The software offers a comprehensive range of functional modules, including device management, data visualization, and map features, addressing various user needs in managing and controlling devices. Its interface is simple, intuitive, and easy to navigate, allowing users to quickly familiarize themselves with the features. In particular, the main interface of the data panel and the device management module are designed to be highly intuitive, enabling users to find the functions they need without confusion, greatly enhancing operational efficiency.

One of the standout features of the software is its use of visual tools, such as pie charts and line graphs, to clearly display changes in device status and alarm numbers. This data visualization allows users to easily interpret the data and make timely decisions. The device management function is rich in features, including device information configuration, threshold settings, and other operational tools that enable users to efficiently monitor and manage device statuses. Additionally, the software prioritizes security in user login and data transmission, implementing encryption and other protective measures, reflecting the team’s commitment to safeguarding user privacy and data security.

However, user feedback has identified several areas for improvement, and the following is a detailed summary of the issues and the plans for addressing them:


User Feedback Issues and Suggested Improvements

1. Security Concerns:

Users have raised concerns about the current login method, specifically regarding the use of cookies to store passwords, which could lead to potential security risks and password leakage. Users recommend implementing a more secure login authentication method to enhance privacy protection.

Improvement Measures:

To address this, the team plans to enhance the encryption technology and optimize the login authentication method. Multi-factor authentication (e.g., SMS verification, two-factor authentication) will be introduced to strengthen the security of user accounts and better protect sensitive information.

2. System Performance and Loading Speed:

Users have reported slow loading speeds, especially when dealing with large amounts of data, and some users have experienced crashes when trying to load extensive data. This has impacted the overall user experience.

Improvement Measures:

The team has initiated a performance optimization plan to improve page loading speeds, especially during high-traffic periods and when handling large datasets. Measures will be implemented to optimize the data loading mechanism, ensuring faster and more stable performance.

3. Data Display Issues:

Some users have noted that data displayed in charts, such as pie charts and line graphs, is sometimes inaccurate or incomplete, likely due to incorrect data formatting or missing information. This affects the clarity and trustworthiness of the data.

Improvement Measures:

The team is working on fixing data display issues by improving data accuracy and ensuring proper data formatting. All visualizations will be tested to guarantee that the displayed information is correct, readable, and reliable.

4. Map Display Inconsistencies:

Users have observed that the device status shown on the map is sometimes out of sync or incorrect, which could lead to misinterpretation of device statuses and affect decision-making.

Improvement Measures:

The map display functionality is being optimized to ensure that device statuses are accurately represented in real-time. The team is addressing the synchronization issues to ensure that the map reflects the correct device status without any delays or errors.

5. User Rights Management:

There have been concerns about potential loopholes in user rights management, with users suggesting that the system should have more granular control over administrator roles and permissions to ensure smooth and secure system operation.

Improvement Measures:

The team is working on strengthening the user rights management system by refining the administrator role settings and ensuring that the permissions system is properly configured to prevent unauthorized access and misuse of the system.

6. Device Compatibility:

Users have reported that the system interface does not display correctly on various devices, affecting its usability across platforms. Ensuring that the interface is fully compatible with different devices is essential for a seamless user experience.

Improvement Measures:

The team is currently optimizing the system’s interface for cross-device compatibility. This will ensure that the system displays correctly on a variety of devices and platforms, providing a consistent experience regardless of the device used.


Actions Taken by the Team

The team is actively addressing the issues raised by users and has already implemented or is working on several improvements:

  • Enhanced Security:
    The team is strengthening the encryption protocols, optimizing the login authentication process, and introducing multi-factor authentication to enhance the security of user accounts and protect sensitive data.

  • Performance Optimization:
    Efforts are underway to improve the page loading speed and enhance overall system stability, particularly when handling large volumes of data. The goal is to ensure the system operates smoothly under high load conditions.

  • Data Accuracy and Visualization Improvements:
    The team is refining the data display mechanism to ensure that charts and other visualizations show accurate and consistent information. This will improve data readability and reliability.

  • Map Functionality Enhancements:
    The map display feature is being upgraded to ensure real-time synchronization and accurate representation of device statuses, reducing the risk of misinterpretation.

  • User Rights Management Upgrades:
    The user rights management system is being improved to offer more precise control over permissions, ensuring that administrator and user roles are correctly configured to avoid security vulnerabilities.

  • Cross-Device Compatibility:
    The interface is being optimized to ensure that it is fully compatible across different devices and screen sizes, providing a consistent experience for users on mobile, tablet, and desktop platforms.


Commitment to Continuous Improvement

The team remains committed to enhancing the software’s stability, efficiency, and usability. By actively addressing user feedback, we aim to provide a more secure, stable, and user-friendly experience. The team is dedicated to continuously improving the system to meet users’ evolving needs and to ensure that the software remains a valuable tool for managing and controlling devices. Our focus is on delivering a high-quality service that meets the highest standards of security, performance, and user satisfaction.

数据集介绍:多类别动物目标检测数据集 一、基础信息 数据集名称:多类别动物目标检测数据集 图片数量: - 训练集:6,860张图片 - 验证集:1,960张图片 - 测试集:980张图片 总计:9,800张含动态场景的动物图像 分类类别: Alpaca(羊驼)、Camel(骆驼)、Fox(狐狸)、Lion(狮子)、Mouse(鼠类)、Ostrich(鸵鸟)、Pig(猪)、Rabbit(兔子)、Rhinoceros(犀牛)、Shark(鲨鱼)、Sheep(绵羊)、Snake(蛇)、Whale(鲸鱼) 标注格式: YOLO格式标注,包含目标检测所需的归一化坐标及类别索引,适用于YOLOv5/v7/v8等系列模型训练。 数据特性: 覆盖航拍、地面视角等多种拍摄角度,包含动态行为捕捉及群体/单体目标场景。 二、适用场景 野生动物监测系统: 支持构建无人机/红外相机AI识别系统,用于自然保护区动物种群追踪与生态研究。 智慧农业管理: 适用于畜牧养殖场动物行为分析、数量统计及健康监测等自动化管理场景。 生物多样性研究: 为陆地/海洋生物分布研究提供标注数据支撑,助力濒危物种保护项目。 教育科研应用: 可作为计算机视觉课程实践素材,支持目标检测、迁移学习等AI教学实验。 三、数据集优势 跨物种覆盖全面: 包含13类陆生/水生动物,涵盖家畜、野生动物及濒危物种,支持复杂场景下的模型泛化训练。 动态场景丰富: 捕捉动物运动、群体互动等真实行为模式,提升模型对非静态目标的检测鲁棒性。 标注体系规范: 严格遵循YOLO标注标准,提供精确的边界框定位,支持即插即用的模型训练流程。 多场景适配性: 数据来源涵盖航拍影像、地面监控等多维度视角,适用于农业、生态保护、科研等跨领域应用。 类别平衡优化: 通过分层抽样保证各类别数据分布合理性,避免长尾效应影响模型性能。
数据集介绍:陆生动物多场景目标检测数据集 一、基础信息 数据集名称:陆生动物多场景目标检测数据集 数据规模: - 训练集:9,134张图片 - 验证集:1,529张图片 - 测试集:1,519张图片 分类类别: - 家畜类:Cattle(牛)、Horse(马)、Sheep(羊) - 宠物类:Cat(猫)、Dog(狗) - 野生动物类:Bear(熊)、Deer(鹿)、Elephant(大象)、Monkey(猴子) - 禽类:Chicken(鸡) 标注格式: YOLO格式标注,包含目标边界框坐标和10类动物标签,支持多目标检测场景 数据特性: 涵盖俯拍视角、户外自然场景、牧场环境等多角度拍摄数据 二、适用场景 农业智能化管理: 支持开发牲畜数量统计、行为分析系统,适用于现代化牧场管理 野生动物保护监测: 可用于构建自然保护区动物识别系统,支持生物多样性研究 智能安防系统: 训练农场入侵检测模型,识别熊等危险野生动物 宠物智能硬件: 为宠物智能项圈等设备提供多动物识别训练数据 教育科研应用: 适用于动物行为学研究和计算机视觉教学实验 三、数据集优势 物种覆盖全面: 包含10类高价值陆生动物,覆盖畜牧、宠物、野生动物三大场景需求 标注质量优异: YOLO格式标注严格遵循标准规范,支持YOLOv5/v7/v8等主流检测框架直接训练 场景多样性突出: 包含航拍视角、近距离特写、群体活动等多种拍摄角度和场景 大规模训练保障: 超12,000张标注图片满足深度神经网络训练需求 现实应用适配性: 特别包含动物遮挡、群体聚集等现实场景样本,提升模型部署效果
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