The push for Industry 4.0, IoT, and AI-driven analytics demands reliable, pre-processed data streams. Regulatory requirements for incident reporting and evidence collection are also tightening across sectors like logistics and manufacturing. Companies are seeking solutions to reduce human error, improve safety, and gain competitive advantage through efficient data utilization. This technology offers a foundational layer for such advanced monitoring ecosystems.
Automates Pre/Post-Event Video Recording: Eliminates manual review and constant recording sifting, significantly reducing verification labor by focusing on essential data.
Predicts and Notifies Media Lifespan: Proactively identifies memory card lifespan and notifies replacement timing, reducing unexpected data loss and device downtime risks, ensuring stable operation.
Reduces Management Workload: Automatically attaches event type information to files, simplifying classification and verification for recipients, significantly cutting annual labor hours.
This patent protects the core functionality of automatically recording images before and after an event, combined with the critical feature of managing recording media lifespan. The claims comprehensively cover the essential components, providing a robust and stable intellectual property foundation for licensees, having successfully navigated initial rejections.
This patent primarily covers the core recording and media management logic. Licensees could develop advanced AI-driven analytics for event prediction or anomaly detection, or integrate with broader IoT platforms for comprehensive operational insights, without conflict.
Implementing this technology could reduce video review and management time for remote surveillance by approximately 30%. For example, for operations involving 100 hours of video review and management per month, with personnel earning $17/hour (AI est.), annual labor savings could be ~$20K (AI est.) per operational unit. Scaling this across 8 such operational units could yield annual cost reductions of ~$160K (AI est.). Additionally, preventing opportunity loss from unexpected data corruption or system downtime could add ~$5K (AI est.) annually, totaling an estimated ~$165K/year (AI est.) in economic impact.
X: Operational Efficiency
Y: Data Reliability