HTC Partners with Metal Center and Others to Launch Smart Fish-Finding Solution

HTC announced today that its subsidiary G REIGNS, specializing in 5G and communication technologies, has collaborated with the Metal Industries Research and Development Centre, Fu-Hung Net, and Wen-Fa Fisheries under the guidance of the Ministry of Economic Affairs' Industrial Development Bureau to unveil a comprehensive smart fish-finding solution.

The solution integrates AI, private 5G networks, satellite communications, edge computing, and drone technology to improve fish school detection efficiency, enable real-time data transmission, and enhance offshore operational safety, advancing Taiwan's smart ocean applications.

Surrounded by ocean, Taiwan has long relied on远洋 fishing as a key industry. However, in vast sea areas, fish detection heavily depends on captains' and crews' experience. Limited communication coverage in远洋 regions makes it difficult to transmit high-definition video and maritime data in real time, posing challenges in fish identification, route planning, and safety management.

HTC explained that the smart fish-finding solution integrates long-range drone fish detection, AI-based fish school recognition, private 5G and satellite communications, edge computing, and a digital monitoring platform. Drones extend the fleet's observation range, replacing some traditional helicopter or visual scouting methods.

By combining private 5G networks with satellite communications and edge computing, high-definition maritime video and operational data can be transmitted in real time to onboard and onshore management platforms in Taiwan, overcoming distance and connectivity limitations. The AI system further analyzes fish school identification, hotspot detection, and route recommendations, helping captains and crews quickly grasp fish movements and sea conditions, improving search accuracy and operational efficiency.

According to validation results, drones can conduct fish-finding missions within approximately 30 kilometers of the vessel, achieving over 60% higher search efficiency compared to traditional methods.