2026-04 Monthly Summary for OpenHUTB/nn focusing on feature delivery, impact, and technical accomplishments. Key features delivered: - Advanced Object Detection with Distance Estimation and Video File Support: Implemented distance estimation and danger level assessment, plus video file input/output to enable processing of video data with safety alerts. This lays the groundwork for real-time surveillance and safety-driven automation in video workflows. - Related commits: Add distance and danger level calculation (#5421), Add video file detection functionality (#5427), Add object detection documentation (#5505). - SVM Normalization and Performance Benchmarking: Introduced data normalization in the SVM module and added benchmarking to compare normalized vs. non-normalized models, improving detection accuracy and runtime efficiency. - Related commit: 改进SVM模块 (#5841). Major bugs fixed: - No major bugs reported or tracked as fixed this month; focus was on feature delivery and reliability enhancements through documentation and code quality improvements. Overall impact and accomplishments: - Enabled end-to-end video-based object detection with safety alerts, expanding data modalities from images to video sequences and enabling future real-time monitoring capabilities. - Improved model reliability and performance through SVM normalization and benchmarking, contributing to higher detection accuracy and competitive runtimes. - Strengthened project documentation to support reuse and onboarding for complex feature areas (distance estimation, video detection, and SVM benchmarking). Technologies/skills demonstrated: - Computer vision: object detection, distance estimation, danger level calculation, video I/O - ML / data processing: SVM normalization, benchmarking, performance analysis - Software engineering: feature development, documentation, cross-language commit messages, repository hygiene - Business value delivered: enhanced safety-alert capability from video data, improved detection accuracy, and scalable inference groundwork for real-time monitoring. Month: 2026-04