Tag: #environmental-tech5 results
Researchers at Macquarie University developed an AI algorithm using X-ray CT scans to detect smuggled marine wildlife like shark fins and seahorses. The system achieves a 92% accuracy rate and is designed to assist human inspectors in airport security environments.
The article analyzes the shift in fly ash management from landfilling to resource utilization, driven by stricter environmental regulations and the need for sustainable industrial processes.
The environmental equipment sector is shifting from new project construction to a stock-based maintenance and upgrade market. Success now requires deep operational data, precise diagnostic capabilities, and a shift toward performance-based service models.
The Yun-12F atmospheric survey aircraft, a national key R&D project, successfully completed its first flight. It features advanced multi-pollutant and greenhouse gas detection capabilities for environmental monitoring.
Researchers have developed a floating capsule that utilizes kinetic energy from water movement to power a disinfection process. This innovation eliminates the need for external batteries or chemical additives, offering a sustainable solution for clean water.