工業4.0 Industry 4.0
治略資訊整合(股)公司 Crowdinsight Inc.
提供人工智慧深度強化學習平臺，進行時間序列資料時頻分析，多維度振動分析，深度神經網路時序預測；即時串流資料分析平臺，即時感測器資料彙整，環境參量設備振動參量綜合分析，遞迴事件驅動引擎。幫助客戶進行車間設備預測性維護，包含減少設備停機時間、長期健康趨勢預測、設備保養排程優化；即時異常報警，包含異常振動，環境參量綜合事件報警，與風險等級評估
Providing Deep Reinforcement Learning Platform of Artificial Intelligence, conducting Time series data time - frequency analysis, multidimensional vibration analysis, depth neural network timing prediction
Real-time and streaming data analysis platform, Real-time sensor data aggregation, environmental parameters equipment vibration parameters integrated analysis, recursive event - driven engine etc. to help clients realize workshop equipment predictive maintenance, including reducing downtime, long-term health trends prediction, equipment maintenance schedule optimization, also the real-time abnormal alarm, like abnormal vibration, environmental parameters integrated event alarm and risk level assessment.
光寶科技 LITEON Smart Factory
智能製造:製程管理視覺化 Visualized process management (traceable & recognizable)
智能工廠需要有高度的整合性，在生產過程上，從原料管控、執行流程與系統機具的狀況，均可直接即時展示於控制者眼前，亦可即時掌握，減少因系統故障造成偏差，而製造過程中的相關資料均儲存於資料庫中，讓管理者擁有完整資訊進行後續規劃與追蹤，包含依照產線系統的現況，規劃機具的維護與品質良率分析等。
A smart factory needs know how to integrate; during the product process, from material control to operating process operation status of system machine can be directly displayed in front of the controller in real-time. The operator can run real-time control and therefore reduce deviation caused by system failure. All data concerning the manufacturing process are stored in the database and managers can acquire the complete data to conduct subsequent planning and tracking, including current status by production line system, plan machine maintenance and yield analysis.
智能生產:工廠監管全方位 Comprehensive factory monitor
通過物聯網(IOT)概念、以感測器做連結使製造、運輸設備具有感知能力，系統可進行識別、分析、推理、決策以及控制，這類製造裝備，可以說是先進製造技術、資訊技術和智能技術的深度結合。從訂單開始，到產品製造完成、入庫的生產製程資訊，都可以在資料庫中一目了然，在遇到製程異常的狀況，控制者亦可更為迅速地作出反應，以促進更有效的工廠運轉與生產。
Based on the concept of IoT, manufacturing with installed sensor enable the system to analyze, predict and make decision during troubleshooting. From taking order to production, all the data will be gather. So when there’s any abnormality, the controller can response in swiftly and therefore operation will run more effectively.
智能互聯:製造綠色化 Green manufacturing
除了在製造上利用環保材料、留意污染等問題之外，需與上下游廠商間從資源、材料、設計、製造、廢棄物回收到再利用處理等方面形成綠色產品生命週期管理的迴圈，協助上下游廠商與客戶之間共同創造符合環保的綠色產品。
Besides using green materials in manufacturing to reduce pollution, it is also important to make sure the upstream and downstream companies is environmental conscious. Together, we can make green manufacturing possible.
智能車 SMART CAR—
車聯網平台V2X (Vehicle-to-everything)、感測器融合平台解決方案the integrated sensor fusion solution
光寶的車聯網平台，讓車對車通訊都以極低延遲的速度達成，在有行車安全疑慮的狀況下能夠即時反應給駕駛者，而搭配ADAS系統更可以在必要時主動煞車。我們的平台也具備資訊安全的相關對策，如憑證加密通訊，雲端韌體更新(FOTA)等，防護駭客入侵。藉由和服務供應商的合作，可搭載前述各種多樣化的應用程式。光寶的車聯網平台，具備多功能、高度整合性、相容性，並提供客戶符合歐、美、中國大陸等國標準並通過電信營運商認證的產品。
自駕車的另一重要基石就是融合式的感測器平台。藉由各種不同的感測器如攝像頭、雷達、3D光達、超音波等等的相互搭配，配合光寶感測器融合的軟體演算法，可補足單一感測器在特定氣候、路況下的物理限制，來提供自駕車對周邊環境完整的認知資訊，進而讓車輛能擁有和道路、基礎建設、行人等互動的能力。
LITE-ON V2X platform achieves V2V communication with extreme low delay, therefore report any safety concern to the driver in real-time and brake automatically when necessary through the aid of ADAS. Our platform comes with information security solution such as certificate encrypted communication and FOTA that can prevent hacking. Through the collaboration with service provider, this solution can carry out various applications service. LITE-ON V2X platform features multifunctional, high integration and compatibility to provide customers with products in compliance with EU, USA and China standards as well as certified by telecommunications service providers.
Another major foundation of the autonomous car is the integrated sensor fusion. Through the collaboration of different sensors, such as camera, laser, 3D LiDAR and ultrasonic, and combining with the software algorithm with LITE-ON sensors, this solution can overcome physical limitation under specific climate and traffic. It offer the autonomous car with complete recognition data of surroundings and thus enable the car to interact with the lane, infrastructure and passenger.