Industries worldwide are grappling with the dual pressures of managing vast volumes of video data and optimizing operational efficiency amidst rising labor costs. Regulatory demands for data retention, coupled with the need for rapid incident response in security and industrial settings, are driving the adoption of smarter data management solutions. This technology offers a strategic advantage by automating video lifecycle management, ensuring compliance, and freeing up human resources for higher-value tasks, thereby enhancing competitive posture in a data-intensive global economy.
Reduces storage costs by up to 60% by efficiently overwriting old video data, preventing unnecessary data accumulation and optimizing storage capacity.
Shortens video data search time to one-third by assigning attributes to exclude data from playback and enabling skip playback, accelerating access to necessary footage and significantly improving operational efficiency.
Reduces operational labor and management burden by outputting overwrite position information, allowing system administrators to easily grasp recording status and substantially reducing manual data organization and backup tasks.
This patent protects a system and program for intelligent video data management through 6 claims, covering cyclical recording, overwrite position output, and selective playback. It was granted after successfully addressing an office action, indicating a well-defined and robust scope with high stability against future invalidation claims.
This patent focuses on intelligent recording cycle control and selective playback. White space exists in advanced AI-driven video content analysis, real-time anomaly detection, and secure, tamper-proof video data storage solutions leveraging blockchain technology.
Assuming annual video data management costs of ~$35K (AI est.) for storage and ~$35K (AI est.) for personnel, plus ~$40K (AI est.) for unnecessary data search (100 hours/month), this technology could reduce storage costs by 60% (to ~$15K (AI est.)), management personnel costs by 50% (to ~$15K (AI est.)), and search time by 80% (to ~$10K (AI est.)). This results in an initial annual cost reduction of ~$70K (AI est.). Factoring in additional personnel efficiency gains, the total operational cost reduction could reach ~$150K per year (AI est.).
X: Operational Efficiency
Y: Data Access Precision