AIIntelligent Defect Detection-Smart Monitoring Solution to Reduce Process Energy Consumption When there are over2ten thousand chip resistors on a ceramic substrate, how should one quickly detect defects The answer isUsingAIto detect。 In the era of rapid technological development, Leike proudly announces significant advances in its laser processing technology, thanks to the innovative applications of artificial intelligenceAILeike is committed to integrating advancedAItechnology into laser processing machines, and in2019year, in collaboration with partners, developed the world's first laser machining system that integratesAItechnology, and on this basis further developed in2023year the first ceramic substrate inspection machine that integratesAOIAILASERtechnology Smart Ceramic Substrate Inspection Machine Through the introduction ofAIand machine learning, along with the accumulation of big data samples, the system becomes smarter, which has led to improved product yield within one year5dramatically reducing the inspection time from originally2minutesper piece to just20secondsper piece, drastically lowering inspection costs, enabling efficient initial detection and post-laser marking to reduce waste in subsequent processes, diminishing overall carbon emissions of the site, allowing the automatic generation of detailed inspection reports for data analysis and optimization, which helps increase equipment capacity, reduce human error, enhancing the value of Leike's equipment, and strengthening the international competitiveness of the country's electromechanical industry Leike CorporationLaser TekFounded in1988year, and officially listed as a publicly traded company in2002year Since its establishment, it has become a leading global service provider and manufacturer of electronic packaging materials,SMDElectronic Packaging Materials,SMTinspection equipment, and laser systems Leike's general manager, with years of laser integration experience, observed that passive component customers can produce over20With many years of laser integration experience, he observed that the production capacity of passive component customers can exceed10billionSMDcomponents every month, but withSMDcomponents per month However, as component sizes continue to miniaturize, defect detection during production becomes increasingly challenging With thousands to millions of components on a single ceramic substrate, and as component sizes decrease and their laser processing positions become smaller, the difficulty of detection increases, making production inspection a critical process R-SMD Production Inspection Process AOIproblems of yield overkill relying onAIfor oversight, Yet,AOIthe inspection machine is a widespread and mature type, but the high accuracy on the marketAOIuses a technique that captures small images in a single shot and stitches them into a larger image Although accurate, this method requires more time for small-sizedSMDcomponents, which are more likely to be influenced by environmental factors like lighting and vibration that can cause misjudgments as a result,AOIyield rate can only be estimated by sampling, and components with poor sampling yield are not removed individually but discarded together with good ones manual re-inspection not only increases costs, but the lack of unified inspection standards ultimately results in about2-5products that are not detected as defective enter the subsequent manufacturing process monthly at least2,000thousands of such defective componentsSMDthat were not initially detected causing ongoing printing and machining inspections in subsequent processes Regardless of the waste of ink materials and energy, which increases the cost burden, this also accelerates equipment wear and shortens operational life Each stage of waste increases the site's carbon emissions, unfavorably impacting the company's carbon footprint Post-Adjustment Sample Photo Example 0402 TraditionalAOI High false positive rates in Automatic Optical Inspection AOI are a major production issue for manufacturers, particularly in the passive components industry where 'it's better to mistakenly reject a hundred than miss one'—a high standard, often leading to AOI setting extremely high parameters which makes devices overly sensitive Excessive stringency in data parameter settings can lead to high false positive rates For instance, if the dirt contamination on passive components resembles the color of the printing layers,AOI the misjudgment rate could reach 7 percent Contamination Dirt and Print Layer Color SimilarityAOIProne to Misjudgment Raytek stands apart from otherAOIsuppliers by discarding the stitching of small images or line scanning, effectively preventing data loss and discrepancies caused by hardware or environmental conditions during image processing It employs a large-array photodetector coupled with custom high-resolution lenses, using specialized imaging for composite processing Throughout this process, each pixel of the photodetector contains light information captured from various positions By combining this data, the image resolution and detail are enhanced, reaching a resolution of millions, and with multiple automatic light adjustments, a single shot can manage7070mmachieving an image resolution up to5umobtaining clear images, then throughSmart-AItechniques for analysis and selection Three Innovative Methods to Achieve Rapid InspectionSmart -AI Raytek's General Manager shares, rapidly implementingAItechnology and reducing inspection computation time, further developingSmart-AIthree major approaches Method one, initially useAOIto quickly separate good products from those with controversial defects, focusing the detection on the minority of defective identifications Method two, an automated labeling platform simplifies the training issue by using cameras to collect data from machines, automatic labeling replaces manual labeling, progressively training to improve accuracy The simpler the problem, the less data needed for training Method three,AOIandAIDual-track Advancement In the smart manufacturing process, relying solely onAOIorAIis not enough to accomplish the task alone, it must be preceded byAOIfirst marking the characteristics, distinguishing between good and defective parts, then usingAIa method for labeling and training Subsequently, by utilizing a repeating cascade effect, the detection benefits are greater as more training data accumulates,AOIreducing the ratio of errors,AIand gradually increasing the accuracy ratio Post Adjustment Object Detection and Training Through three major methods gradually building system reliability, and categorizing data for defect sorting, ultimatelyAIreturning the judgement results to the main system, utilizing laser machining to control truly defective products at the front end of the process, reducing the inflow of defective products into other stations, thus minimizing losses due to repeated tests or reprocessing Leading in smart laser equipment, chooseLASERTEKthe right one Continuously developed by the Taiwanese brand Raytek, combiningAIsmart detection and laser processing equipment to progressively build a smart monitoring solution stack from raw materials, products, testing, laser equipment, etc, aiming at reducing the energy consumption of the production process, implementing semiconductor advancements, substrates and component processing among other fields, producing equipment products capable of meeting the end-user demands under low carbon conditions, rapidly and with quality products and services expanding both domestic and international markets, enhancing the global competitiveness of localMade in TaiwanMITequipment 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-12-12」

The use of drones for intelligent inspection is becoming increasingly common, with major petrochemical and solar power plants continuing to adopt drone applications Located in Hsinchu, Extreme Present Technology earthbook has established a 4D cloud platform using its proprietary technology, offering drone, software, and data analysis platform services for intelligent inspections at solar power and petrochemical plants, reducing the total cost to just one-fifth of traditional methods involving hardware and software purchases, and cutting down the time from one month to approximately 24 hours, making it highly cost-effective For petrochemical industry operators who are constantly in a high-temperature, high-pressure dangerous environment, the safety control and inspection of plant facilities are critical 'As long as we can enhance the capabilities of facility inspection and risk identification in petrochemical sites, resource input is absolutely not an issue,' said a petrochemical industry representative with emphasis By implementing the drone 4D AI inspection cloud platform, the efficiency and safety of facility inspections among petrochemical operators can be elevated, further reducing the risk of equipment downtime Founded in March 2018, Extreme Present Tech has become a consistent winner in domestic entrepreneurship competitions, including being crowned champion in the 2019 OPEN DATA Business Innovation Practice, selected into Microsoft's startup accelerator in 2020, chosen for NVIDIA's AI startup team in 2021, and its products have been launched on the Microsoft Azure platform, earning investments from the National Development Fund and major domestic groups, thereby securing strong market validation for its technical prowess and services The founder and CEO of Extreme Present Tech, Hsu Wei-Cheng, mentioned that at the beginning of its establishment, the company took on the national space center's satellite 3D photography scheduling system and specialized in the integration of geographic information into 3D images As drone hardware technologies matured, the company shifted its operations towards the drone market and combined it with AI image recognition systems to establish a 4D cloud DaaS platform, offering services including online aerial photography ordering DaaS, 5GAIoT cloud platform SaaS, and enterpriseAPI server software, to meet the demands of drones in smart cities, facility inspection, engineering management, disaster response, pollution monitoring, and other applications, maximizing the value of drone services Smart aerial inspection regularly tracks the health status of plant equipment at a glance The quantity and area of petrochemical plants in Taiwan are immense, lacking sufficient manpower for comprehensive equipment inspections Given that petrochemical plants produce high-temperature flammable and corrosive chemicals that must be transmitted and stored through pipelines and tanks, long-term risks like pipeline ruptures and tank blockages could lead to severe occupational safety disasters, equipment downtime, and production stagnation Given the shortfalls in personnel for equipment inspections among petrochemical operators, Extreme Tech has already implemented a 4D AI drone inspection cloud platform combined with AI image recognition technology in petrochemical plant areas, providing ground-breaking evidence through the use of drones and proprietary app software services that connect on-site aerial data collection to the cloud platform, achieving fully automated and real-time aerial monitoring of petrochemical plant equipment pipelines, tanks, and ensuring precise locations and angles for each aerial operation, effectively compensating for the discrepancy in human inspection Hsu Wei-Cheng pointed out that the inspection drones used in petrochemical plants are equipped with dual lenses, one visible light and the other thermal infrared, which allow for determining pipeline obstructions through temperature conditions, enabling clients to immediately view the inspection status of the plant area from remote locations via the earthbook website, enhancing clients' inspection efficiency and accuracy The 4D aerial data platform meets diverse applications such as smart cities, transportation, engineering management, and pollution monitoring DaaS Online Order-Use Model Innovates Aerial Photography Business Model Saving 15 Costs Apart from providing a 4D aerial data platform, Extreme Present Tech also offers DaaS Drone as a Service After customers place orders on the website, Extreme Present coordinates with professionally licensed aerial photographers to provide on-site services Customers can monitor real-time operations through the platform and quickly obtain aerial data to evaluate any abnormalities, enabling timely alerts Take the solar power plant monitoring service as an example Given that solar power plant areas are large and widely distributed, located in the remote Pingtung area with the headquarters in Taipei, for inspections of the Pingtung plant, the customer just needs to use the DaaS service model, directly order online and upload a map of the Pingtung plant, obtain a quote from the company, and then entrust local Pingtung pilots to perform aerial inspections of the solar power plant During the process, the drone's route is automatically calculated by AI to plan the flight path, and the aerial data is transmitted to the client's cloud account, allowing the Taipei headquarters clients to immediately see the inspection status of the solar power plant from the earthbook website such as the condition of the solar panels, dust detection, or abnormal heat generation from solar electromagnetism, effectively helping the customer significantly reduce operational costs and efficiently complete the solar power plant inspection service Introduction of DaaS online aerial photography service in petrochemical plants According to estimates, solar power plant clients often incur high personnel costs by purchasing drones or outsourcing aerial photography With the long-term provision of aerial photography devices and the DaaS business model by Extreme Present Tech, customers can save 45 of aerial photography costs, and obtain aerial inspection reports within 24 hours post-operation, helping clients efficiently identify issues with solar panels Aiming to become the largest aerial data service company and enter the Southeast Asian market Since its establishment in 2018, Extreme Present Tech has rapidly grown in the aerial photography market with innovative thinking, actively expanding its aerial data application services Currently focused on cultivating the Taiwan market, the company aims to enter Southeast Asian nations, with Indonesia chosen as the first stop due to its high demand for infrastructure Hsu Wei-Cheng hopes that earthbook becomes the world's largest aerial data service platform Besides completing the initial round of funding from the National Development Fund and major groups, to penetrate the international market, the company continuously improves its drone data services and AI technology innovations, while also requiring the assistance of entities like the Industrial Technology Research Institute to find strategic investors that complement the company, fulfilling its goal of becoming an international aerial data corporation in phases Founder and CEO of Extreme Present Tech, Hsu Wei-Cheng「Translated content is generated by ChatGPT and is for reference only Translation date：2024-05-19」

In construction site operations, implementing safety protection measures and establishing related processes are essential for controlling workplace safety Every business owner strives to minimize industrial safety risks To reduce the probability of workplace accidents, it is particularly important to inspect personal protective equipment PPE and safety measures The Yongyi Smart Construction Site Security Platform utilizes an AI-embedded system, not only to detect whether workers are properly wearing helmets, but also to manage access control at construction site entrances and verify worker identity The Smart Construction Site Security Platform is also a part of the government's push for the Smart Construction Label Initiative 'Smart Site Management' is one of the three main items under the 'Maintenance Management' indicator, highlighting the importance of 'Smart Site Management' This solution includes access management, surveillance management, safety management, and environmental monitoring as aspects of its AIOT solution Feature Highlights 「Translated content is generated by ChatGPT and is for reference only Translation date：2024-11-09」