HONG KONG, Oct. 15, 2026 /PRNewswire/ — Shenzhen HQVT Technology Co., Ltd. (“HQVT” or the “Company”, stock code: 1392.HK) is exhibiting its multispectral AI fire early warning portfolio at the HKTDC Hong Kong Electronics Fair (Autumn Edition) 2026, held from 13 to 16 October at the Hong Kong Convention and Exhibition Centre. Designed for data centres, power distribution systems and new energy facilities, the portfolio demonstrates a workflow connecting abnormal signal detection with on-site verification and response.

With artificial intelligence and robotics among its main themes, this year’s fair is expected to bring together more than 3,200 exhibitors from 15 countries and regions. Building on its exchanges at previous international exhibitions, HQVT is introducing its technology and product portfolio to Hong Kong and other regional markets. Buyers from Asia-Pacific, Europe and South America have visited the Company’s booth for in-depth discussions.

HQVT showcases its multispectral AI portfolio at the HKTDC Hong Kong Electronics Fair (Autumn Edition) 2026, including multispectral sensing terminals, the Zhiyuan Edge Hub and a quadruped inspection robot equipped with HQVT’s multispectral AI module.
HQVT showcases its multispectral AI portfolio at the HKTDC Hong Kong Electronics Fair (Autumn Edition) 2026, including multispectral sensing terminals, the Zhiyuan Edge Hub and a quadruped inspection robot equipped with HQVT’s multispectral AI module.

Detecting Invisible Signals for Earlier Risk Warning

Data centres, power distribution systems and new energy facilities share several characteristics: densely installed equipment, complex electrical systems and potentially severe consequences from fire or equipment failure. These consequences can extend beyond damaged equipment to business interruption, asset losses and risks to personnel. In such settings, earlier risk identification is particularly valuable.

Many electrical faults produce detectable physical signals before visible smoke or flames appear. A loose electrical connection, for example, may produce abnormal discharge or localised heating. These weak signals can be difficult to detect through visible-light monitoring alone. Multispectral AI helps operators identify such early signs of risk.

Based on its proprietary “Optics-Sensor-Imaging-Computing” technical architecture, HQVT combines ultraviolet, infrared and visible-light sensing with AI analysis. Ultraviolet signals can indicate electrical discharge and early-stage flames, infrared data shows temperature distribution and abnormal heat, and visible-light images provide scene context. Analysing these signals together helps identify early risk indicators that conventional visible-light systems may miss.

At the exhibition, HQVT demonstrated how multispectral sensing can turn otherwise invisible physical signals into risk indicators that operators can locate and investigate. The demonstration also illustrates the role of sensing and edge computing in physical AI, helping machines interpret conditions in the real world.

Connecting Sensing, Edge Computing and On-Site Response

HQVT’s exhibition portfolio shows how on-site sensing, local analysis and personnel response can work together.

At the sensing level, HQVT is presenting terminals for different deployment requirements. An industrial terminal for monitoring physical safety and a separate explosion-proof analyser address different installation conditions. A mini card-style terminal is intended for smaller sites and lightweight deployments, while a ceiling-mounted privacy-preserving terminal uses ultraviolet and infrared sensing without capturing visible-light images. These products help identify electrical discharge, abnormal heat and small flames in different operating environments.

At the computing level, the Zhiyuan Edge Hub, powered by the NVIDIA Jetson chip, provides local computing capacity for HQVT’s multispectral sensing devices. It analyses abnormal signals close to where they are generated, reducing data transmission latency and supporting local AI inference. The Hub can also combine information from multiple devices for system-level analysis, helping operators locate potential risks and assess relationships between different signals.

For mobile inspection, HQVT’s multispectral AI modules can be integrated into inspection robots to reach locations beyond the coverage of fixed devices. The system records risk indicators, retains supporting evidence and triggers alerts to assist personnel with on-site verification and response. Maintenance and follow-up inspection results are then documented, completing the workflow from monitoring and early warning to verification, corrective action and review.

Building on Industry Experience to Advance International Deployment

Deploying multispectral AI in complex settings requires long-term reliability under real operating conditions as well as accuracy in laboratory tests. Data centres contain densely installed equipment and complex electrical systems, while power facilities have strict continuity requirements. Effective solutions must adapt to different site layouts, process data locally when needed and integrate with existing safety systems.

One visitor highlighted the sense of security offered by HQVT’s solution. In discussing data centres and high-power EV charging facilities, the visitor identified electrical reliability and fire safety as key procurement considerations. HQVT’s approach can help project designers address these risks earlier in the design process. The Company has served more than 2,500 customers in China and overseas.

HQVT has recently stepped up its efforts to expand its international presence. In July 2026, HQVT signed a strategic cooperation framework agreement with Singapore-based LINKWISE TECHNOLOGY PTE. LTD. The agreement focuses on exchanges concerning multispectral AI technology, early risk warning requirements in high-value operating environments, and market conditions in Singapore and Southeast Asia. By participating in Data Centre World Asia 2026 in Singapore and the Hong Kong Electronics Fair, HQVT is gaining insight into market-specific requirements for certification, product configuration and system integration as it develops its international business.

About HQVT

Founded in 2013 and headquartered in Shenzhen, China, Shenzhen HQVT Technology Co., Ltd. is a multispectral AI technology company listed on the Main Board of The Stock Exchange of Hong Kong Limited under stock code 1392.HK.

Based on its proprietary “Optics-Sensor-Imaging-Computing” technical architecture, HQVT has developed multispectral perception capabilities across ultraviolet, infrared and visible-light bands. Its products and solutions are used in data centres, power systems, energy facilities and other high-value scenarios.

According to Frost & Sullivan, HQVT ranked first by revenue among multispectral AI companies in China and among multispectral AI large-model service providers in China in 2024 and 2025.

For more information, please visit: https://www.hqvt.com/en/