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Wednesday 26 November 2025
Smart dining transformation accelerates: ASUS IoT IoRT solutions enhance operational efficiency in chain restaurants
As digital technology becomes more prevalent and customer expectations rise, digital menu boards have emerged as crucial tools for chain restaurants looking to boost branding and operational efficiency. Nonetheless, several businesses continue to encounter difficulties during the deployment process, such as asynchronous content updates, frequent equipment failures, and insufficient remote maintenance. This limits headquarters' ability to update menu information nationwide, while fan failures and extensive maintenance of standard display systems raise expenses.Smart solutions for smoother operationsA notable Taiwanese restaurant chain has implemented ASUS IoT's advanced Internet of Retail Things (IoRT) solutions to tackle these operational issues. ASUS IoT Cloud Console (AICC), along with its PE1000S industrial computer, facilitates a dependable, efficient, and intelligent operational transformation throughout the chain's multiple locations in Taiwan.Given that digital technology has become the foundation for modern chain restaurants, Clark Chang, Sales Manager at ASUS, underscored the importance of maintaining high operational stability, maintenance efficiency, and management effectiveness. ASUS IoT's solutions, which focused on the PE1000S industrial computer, demonstrated exceptional performance in terms of system stability, maintenance simplicity, and hardware-software integration, earning the endorsement of the restaurant chain client and becoming standard equipment in the customer's stores.Compact, fanless design built for reliabilityThe ASUS IoT PE1000S industrial computer, tailored for the food and beverage sector, features a compact, fanless design. It is tiny and may be mounted directly behind a digital display, maximizing space while maintaining the store's aesthetic consistency. The fanless heat-dissipation design is an essential feature, effectively averting disruptions caused by dust accumulation or fan failure in traditional equipment. It ensures reliable operation even under harsh conditions, such as high temperatures and oil vapor.Additionally, ASUS offers a three-year warranty, one year longer than comparable products-helping reduce maintenance costs and extend equipment lifespan. The solution is built on a Windows-based architecture, enabling system integrators to accelerate implementation and shorten deployment time, thereby advancing store digitalization. This architecture also ensures broad compatibility and seamless connectivity.Intelligent maintenance through centralized controlBy integrating its in-house developed AICC management platform and leveraging a robust hardware foundation, ASUS IoT is able to improve e-menu systems, thereby incorporating intelligent maintenance features. The integration of the PE1000S and AICC enables chain restaurant operators to guarantee the sustained operation of front-end equipment while simultaneously monitoring the state of each location in real time.Chang said that AICC consistently monitors equipment performance and automatically issues notifications if any irregularities occur. IT specialists can remotely access systems to diagnose, reboot, or modify parameters, thereby substantially reducing the need for on-site maintenance and alleviating the workload on personnel. A consolidated cloud backend enables headquarters to centrally oversee equipment throughout Taiwan, decreasing the average maintenance response time from 24 hours to under two hours. The comprehensive solution emphasizes stability, a lightweight construction, and intelligent maintenance, allowing e-menu systems to function dependably for prolonged durations in high-temperature, high-frequency settings.Proven results and a path toward AI-driven retailThe restaurant chain client has maintained consistent operations across thousands of stores in Taiwan for more than two years since the system's implementation. The incidence of equipment failure has diminished by more than 80% relative to the pre-implementation phase. IT staff can resolve over 90% of software anomalies or system restart requests in real time, decreasing the average repair time from eight hours to 30 minutes, thanks to the centralized monitoring and remote maintenance capabilities of the AICC platform.This greatly improves operating stability and maintenance efficacy. The headquarters may centrally oversee menu material throughout Taiwan, guaranteeing uniform brand messaging, while empowering store managers to modify individual store menus in real time through a mobile application, thereby adeptly accommodating local promotions or festive occasions. Customer feedback indicates that following enhancements in system stability, promotional activities resulted in an average sales increase of approximately 15%, evidencing a definitive return on investment.The digital dining technology and its applications have attained a substantial level of maturity, resulting in a saturated market of competing products, according to Chang. The customer ultimately selected the ASUS group, and ASUS IoT in particular, thanks to the quality of its products, with information security and local trust serving as critical factors in their decision-making process.ASUS, a Taiwanese company, ensures the security and transparency of its entire supply chain by providing dependable hardware, as well as extensive software development and technical support. Moreover, the ASUS IoT technical team is capable of promptly addressing customer needs by providing localized maintenance and support services, thereby bolstering the confidence of businesses in their digital transformation initiatives.From devices to AI-driven insightsASUS IoT is advancing retail applications from "device implementation" to a new phase of "AI-driven decision-making," according to Chang. ASUS IoT intends to provide kitchen display systems (KDS), self-checkout (SCO) systems, and AI-driven customer behavior analysis modules to aid businesses in enhancing operations and acquiring insights into consumer behavior. The restaurant chain client has utilized the data analysis capabilities of the ASUS AICC platform to amalgamate interactive data from e-menus with POS sales data. This has been executed to inform operational strategy and product development.ASUS IoT will also collaborate with system integrators and startup partners to establish a 'co-growth ecosystem' that enables the implementation of smart retail solutions through a standardized interface and open architecture. This ecosystem will evolve from ensuring hardware stability to enabling intelligent operations, serving as a catalyst for the digital transformation of Taiwan's food and beverage retail industry.Credit: ASUS
Tuesday 25 November 2025
ASUS IoT AISEHS raises intelligent security standards, helping semiconductor industry move from passive to active protection
The semiconductor sector demands stringent security and cybersecurity standards; any lapse may compromise brand reputation and operational integrity. Conventional surveillance still encounters challenges, such as the inability to analyze extensive camera footage in real time, reliance on manual risk inspections, and the tendency for most incidents to be investigated retrospectively, despite the establishment of stringent management systems.From passive monitoring to proactive protectionASUS IoT's AISEHS intelligent image-detection platform employs AI technology to convert image data into actionable insights, assisting prominent Taiwanese semiconductor manufacturers in transitioning from passive security management to proactive prevention, thereby initiating a new era of intelligent security in the manufacturing sector.Delfina Shih, Product Manager of ASUS AI Solution Business Unit, stated that semiconductor facility safety management is primarily passive, with current operations dependent on post-event verification procedures. The widespread deployment of CCTV cameras at every site usually impedes the attainment of comprehensive and real-time surveillance, resulting in human fatigue-related errors. The absence of data-driven management tools makes it impossible for employees to undertake trend analysis or optimize SOPs.Secure, compliant, and seamlessly integratedThe AISEHS platform adheres to the rigorous standards and operating requirements of the semiconductor sector. AISEHS employs a multi-tiered access control system to ensure that each department can access only relevant data, hence preventing interdepartmental information breaches. Deployment architecture includes pure cloud, hybrid cloud, and pure on-premises to fulfill the security compliance requirements of various companies. Furthermore, automated deployment procedures and quick model iteration approaches ensure that system updates do not disrupt on-site operations. The platform simplifies integration with existing client's video-management system (VMS), incident management, and internal communication systems This significantly improves management efficiency by enabling the detection, reporting, and resolution of security issues within a unified environment.AI-driven detection and instant responseThe AISEHS platform provides critical detection capabilities, such as the identification of personal protective equipment (PPE), which speeds up the assessment of an employee's proper use of safety equipment. Virtual fencing detection effectively prevents unauthorized entry into risky areas, whereas hazardous behavior detection monitors high-risk operations, such as maintenance or climbing, and automatically checks compliance with safety procedures. The system also includes a real-time notification mechanism that immediately alerts relevant personnel when abnormalities are detected and provides video clips to help quickly locate and address issues. In order to facilitate management decision-making, the data dashboard presents contractor performance assessments, risk locations, and event patterns. In addition, the platform enables clients to integrate their own models to enhance applications and fully capitalize on their current AI investments, thereby facilitating the incorporation of third-party AI models.AISEHS facilitates global deployment by leveraging four important technologies to address the transnational operating needs of semiconductor businesses. Firstly, the RTSP streaming protocol facilitates the quick integration of surveillance devices from many manufacturers,  achieving real-time image acquisition and AI identification. Secondly, multi-tenant management makes it easier to construct autonomous tenants based on factory zones or companies, as it ensures unique data permissions and reduces interference. Thirdly, the AI task-scheduling method allows for the definition of detection intervals, with models activated only when necessary to maximize computational resources. Lastly, custom detection logic can run multiple AI models simultaneously, such as personnel counting and helmet detection, which improves implementation efficiency and lowers customization costs. Empowered by a software-defined surveillance approach,  firms will be able to balance centralized administration with localized flexibility in global operations, resulting in a consistent level of safety regulation.Delfina stated that a key advantage of AISEHS is the thorough use of existing infrastructure. The platform may be integrated easily into existing CCTV systems and network infrastructures, eliminating the need for rewiring or the purchase of new equipment. The installation process does not disrupt ongoing surveillance operations. Compared with traditional system overhauls that may take months, AISEHS requires only a security assessment of the existing platform, thereby shortening the deployment time to 2-3 weeks and enabling the transformation of conventional surveillance systems into AI-enhanced smart security frameworks.Proven performance and measurable gainsA semiconductor leader has reported positive outcomes one year after deploying the ASUS AISEHS platform. On-site worker self-discipline has increased significantly, resulting in an 82% reduction in risk occurrences thanks to AI-powered real-time monitoring and event retrospective capabilities. The AI electronic fencing provides automatic nighttime surveillance, resulting in an annual labor cost savings of about US$400,000 per sentry. Scheduling approaches and computational resource monitoring enabled more accurate allocation of GPU/CPU computing capability, resulting in a 83%  reduction in resource consumption. Operational efficiency has increased dramatically, with event processing time reduced from 30-60 minutes of cross-system manual confirmation to less than five minutes for confirmation and response. The AI model's accuracy exceeds 90%, while the actual operating error rate is less than 1%.Expanding toward intelligent, industry-wide protectionASUS IoT is making a concerted effort to enhance the functionality and scope of its AISEHS platform in order to align with its future objectives. New modules, including behavioral-anomaly detection and SOP execution analysis, will be incorporated in the future, transforming it from a security management system to a comprehensive intelligent platform for operational security and production stability. The platform will include an MLOps module to comply with cybersecurity and data sovereignty regulations. This module will enable customers to complete the entire lifecycle of data annotation and model training on-site, thereby accomplishing the objective of data remaining at the factory, and models autonomously upgrading.ASUS IoT has also initiated discussions with industries such as energy, metal refining, and petrochemicals to assess the potential for extended use of the technology in field applications.  Delfina noted that ASUS IoT intends to build AI as a basic technology for operational protection and risk prevention, strengthening security management mechanisms with a smart and efficient system.Credit: ASUS