随着电动自行车保有量的激增，电动车违规进入电梯引发的火灾事故频发，对居民生命财产安全构成严重威胁。传统的管理方式依赖人工劝阻，效率低下且存在监管盲区。 本项目设计并实现了一套基于深度学习的电梯场景电动车智能检测系统。系统以 YOLO 目标检测算法为核心，结合多线程实时流处理技术，实现了对电梯内电动车目标的毫秒级精准识别与自动声光报警，为消除
active 2025-12-14 → 2025-12-14 (UTC)
Activity over time
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Line chart, 1 days from 2025-12-14 to 2025-12-14. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
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- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
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Recent activity
Latest issues, pull requests and releases
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