The proliferation of connected vehicles, smart city infrastructure, and industrial IoT devices is generating an unprecedented volume of video data. This surge is compounded by regulatory demands for verifiable incident records in sectors like logistics and public safety. Companies face competitive pressure to offer robust, low-maintenance solutions that minimize human intervention in data management. This technology provides a crucial advantage by enabling efficient, automated data handling, reducing operational expenditures, and enhancing compliance across diverse applications.
Reduces video data management effort by 80% by automatically optimizing continuous and event recordings within the same storage area, eliminating manual data transfers and deletions, which significantly cuts operational workload.
Enhances reliability of critical event video recording by automatically deleting unnecessary intermittent recording data based on available storage capacity, ensuring critical footage from emergencies or events is reliably preserved.
Extends recording media lifespan and improves cost efficiency through efficient utilization of recording space, reducing the frequency of media replacement, contributing to lower long-term operational costs and effective resource management.
This patent protects a recording control mechanism within electronic devices that automatically optimizes storage for continuous and event-based video data. It specifically covers the logic for automatically deleting less critical intermittent recordings to ensure capacity for important event footage. The patent has a strong claim scope, having overcome examiner rejections against six prior art documents, indicating robust novelty and inventiveness.
This patent focuses on on-device recording control logic. White space exists in developing advanced cloud-based video analytics, integrating with vehicle-to-everything (V2X) communication, or designing novel hardware architectures for ultra-high-density, low-power video storage.
Assuming a transport company deploys this technology in 100 vehicles. Previously, managing dashcam footage for each vehicle required 1 hour per month (at $13.50/hour (AI est.)). This could yield an annual labor cost reduction of $16,000 (AI est.) (2,000 JPY/vehicle/year * 100 vehicles / 150 JPY/USD). Furthermore, reduced recording media replacement frequency and lower troubleshooting costs from data loss (estimated at $6.5K/company (AI est.) annually), combined with avoided opportunity loss due to enhanced customer satisfaction (estimated at $65K/company (AI est.) annually), could lead to total annual savings of up to $80K (AI est.).
X: Operational Efficiency
Y: Data Reliability