--- title: "hanying7721 (@fdfxx) | Hashnode" description: "Professional people counting & footfall analytics solutions" url: "https://hashnode.com/@fdfxx" --- @fdfxx # hanying7721 @fdfxx · Joined June 2026 [Website](https://www.foorir.com/) ### [How Re-ID Reduces Duplicate Visitor Counts in Retail](https://foorir.hashnode.dev/how-re-id-reduces-duplicate-visitor-counts-in-retail?utm_source=hashnode&utm_medium=feed) What Is Re-ID in People Counting? Re-identification (Re-ID) is an AI technology that helps determine whether people detected at different times or locations may be the same individual. In retail peopl 2 min read · [foorir.hashnode.dev](https://foorir.hashnode.dev/how-re-id-reduces-duplicate-visitor-counts-in-retail?utm_source=hashnode&utm_medium=feed) [Oct 15](https://hashnode.com/posts/how-re-id-reduces-duplicate-visitor-counts-in-retail/6ad0850f073c28ba3f900bc0) ### [How AI and Computer Vision Are Redefining Retail Analytics Through Effective Foot Traffic](https://foorir.hashnode.dev/how-ai-and-computer-vision-are-redefining-retail-analytics-through-effective-foot-traffic?utm_source=hashnode&utm_medium=feed) Explore how AI, 3D vision, and edge computing are transforming retail analytics from traditional people counting into intelligent Effective Foot Traffic analysis systems. 6 min read · [foorir.hashnode.dev](https://foorir.hashnode.dev/how-ai-and-computer-vision-are-redefining-retail-analytics-through-effective-foot-traffic?utm_source=hashnode&utm_medium=feed) [Jul 31](https://hashnode.com/posts/how-ai-and-computer-vision-are-redefining-retail-analytics-through-effective-foot-traffic/6a6c0574f94eb077be1d4f4c) ### [How Computer Vision Enables Privacy-Friendly Human Flow Analysis in Physical Spaces](https://foorir.hashnode.dev/how-computer-vision-enables-privacy-friendly-human-flow-analysis-in-physical-spaces?utm_source=hashnode&utm_medium=feed) Introduction Computer vision has changed the way machines understand the physical world. From autonomous vehicles to smart buildings, AI models are increasingly being used to analyze movement, objects 5 min read · [foorir.hashnode.dev](https://foorir.hashnode.dev/how-computer-vision-enables-privacy-friendly-human-flow-analysis-in-physical-spaces?utm_source=hashnode&utm_medium=feed) [Jul 15](https://hashnode.com/posts/how-computer-vision-enables-privacy-friendly-human-flow-analysis-in-physical-spaces/6a57023885a8f5d7088c94b0) ### [Why Traditional Footfall Counting Systems Fail in Modern Retail Analytics](https://foorir.hashnode.dev/why-traditional-footfall-counting-systems-fail-in-modern-retail-analytics?utm_source=hashnode&utm_medium=feed) Explore why traditional footfall counting systems struggle in modern retail and how AI-powered people counting improves customer traffic accuracy, data quality, and retail analytics. 4 min read · [foorir.hashnode.dev](https://foorir.hashnode.dev/why-traditional-footfall-counting-systems-fail-in-modern-retail-analytics?utm_source=hashnode&utm_medium=feed) [Jul 10](https://hashnode.com/posts/why-traditional-footfall-counting-systems-fail-in-modern-retail-analytics/6a50875001f270b3febe7fa7) ### [ToF Depth Vision & Edge ML: Engineering Human Multi-Target Tracking for Crowded Complex Scenes](https://foorir.hashnode.dev/tof-depth-vision-edge-ml-engineering-human-multi-target-tracking-for-crowded-complex-scenes?utm_source=hashnode&utm_medium=feed) Traditional single-beam infrared counters and 2D RGB camera tracking modules fail to deliver accurate human target detection in dense, multi-directional crowded spaces. This article dissects the end-t 9 min read · [foorir.hashnode.dev](https://foorir.hashnode.dev/tof-depth-vision-edge-ml-engineering-human-multi-target-tracking-for-crowded-complex-scenes?utm_source=hashnode&utm_medium=feed) [Jun 29](https://hashnode.com/posts/tof-depth-vision-edge-ml-engineering-human-multi-target-tracking-for-crowded-complex-scenes/6a422f66618a631c676d2d06)