1.Design Overview: The system constructs a full-chain closed loop of “Identification - Reach - Handling - Incentive,” addressing the core pain points in logistics sorting. 2. Core Value: - For Business: Immediate identification of error scenarios to solve problems at the source, reducing customer complaints and compensation due to mis-sorting. - For Personnel: Simplified interaction on the watch (3 steps to report) lowers the operational threshold; real-time leaderboard on the large screen enhances engagement. - For Management: Visual data dashboards on the large screen enable digital control over all site anomalies and handling situations. 3.Solution Highlights: Frontline workers receive income bonuses, and managers gain traceable quality control tools, fostering a win-win ecosystem for the company and employees.Application of AI dynamic image compensation algorithm to detect mis-sorting events at the source: 1.Locate parcel positions based on YOLOv11 deep learning object detection algorith. 2.Achieve parcel trajectory tracking using ByteTrack multi-object tracking algorithm. 3.Implement mis-sorting determination based on parcel trajectories and area division.1.Health: Replace high-noise announcements with watch vibrations to reduce workplace noise. 2.Safety: Reduce the risk of manual climbing for equipment inspection to prevent mechanical injury accidents. 3.Usability: View package information and appearance on the watch screen to efficiently locate problematic packages.1.Color Scheme: The overall design adopts a contrasting color scheme of deep blue and orange. The deep blue background conveys a sense of stability and professionalism, while the orange highlights important information, making the data more eye-catching. 2.Layout Structure: The interface layout is clear and orderly. The left side displays incentive rankings and personal reward information, while the right side shows detailed statistics and pending tasks. This zoned design ensures a clear hierarchy of information, allowing users to quickly locate what they need. 3.Comprehensive Information Display: The dashboard includes multiple key metrics such as total sorting volume, alarm volume, processing volume, and error correction volume, as well as detailed data on mis-sorting, stuck items, and items that should have been placed but weren’t, providing a comprehensive overview of work status. 4.Incentive Mechanism: By displaying rankings and reward amounts, it motivates employees to be more proactive and competitive, thereby improving work efficiency.1.Energy Conservation: Reduce fuel consumption and CO? emissions by minimizing the need for re-transportation of misrouted items through AI error correction. 2.Equipment Recycling: Extend the lifespan of existing sorting equipment to avoid generating tons of electronic waste from hardware replacements and repairs.