Скачать или смотреть Optimized Image Storage System with Self Adaptive Attention Areas Feng Chia University

🌐 Optimized Image Storage System with Self-Adaptive Attention Areas

Developed by Feng Chia University, this cutting-edge image storage optimization system is designed for intelligent surveillance. Using image similarity analysis, object recognition, and motion detection, the system intelligently keeps only important video frames, reducing data redundancy without losing critical information.

Compression rates: Average 66.4%, up to 82.2% in low-traffic scenarios
Benefits: Saves storage space, lowers energy usage, extends hardware lifespan, and reduces carbon emissions and e-waste

This innovation supports the UN Sustainable Development Goals:
🏗️ SDG 9 – Industry, Innovation & Infrastructure: Driving smart, sustainable technology
♻️ SDG 12 – Responsible Consumption & Production: Efficient use of storage and energy
🌍 SDG 13 – Climate Action: Reducing environmental footprint
🏙️ SDG 11 – Sustainable Cities & Communities: Enhancing smart city surveillance and public safety

Already deployed in professional monitoring platforms, this AI-driven system demonstrates high-performance, scalable, and sustainable surveillance solutions.

#MTE2025 #SmartSurveillance #AIInnovation #SustainableTech #SDGImpact #ClimateAction #SmartCities #FengChiaUniversity