高速移動網路新時代 - 雲端與物聯網發展新趨勢 (An Integration Trend of Terminal Devices, IoT and C...William Liang
(DIGITIMES 2016微控制器技術論壇演講投影片)
廣義物聯網範疇包括終端裝置、網路、雲端、及感測裝置等等。由於技術的成熟，越來越多的裝置將可整合嵌入式系統的軟硬體及連網能力，因而變得更智慧化。隨著高速網路越來越成熟，雲端將與物聯網及終端的距離越來越近。這個主題中，我們將探討物聯網發展趨勢以及 4G/5G 等高速移動網路將如何影響物聯網與移動終端的架構。和沛移動透過獨創的『雲記憶延伸技術 (CME)』與 Data-centric IoT 架構，將裝置本地與雲端空間無縫融合，讓開發者不再需要處理雲端接取細節，也讓使用者不再受到裝置容量限制，而能盡情享受雲端終端整合為生活帶來的便利與優點。
In this presentation, a possible integration trend of the IoT, Mobile Terminals, and Cloud for the emerging 4G/5G high-speed mobile networks will be introduced. Hope Bay Mobile Inc. has proposed the patented “Cloud Memory Extension (CME)” Technology and the “Data-centric IoT” architecture, so that the system space of the mobile and IoT devices can be merged with the cloud storage seamlessly. In this way, the logical space of the devices could be extended without any limitation. Developers will be able to create applications easily since the details of the device-to-cloud communications has been hidden; instead, cloud data can be accessed from within the device local file systems directly.
With the fast technological progress of sensors, processors, operating system and AI, more and more data are generated and processed. Cloud computing is usually the 1st choice for such tasks, however, cloud computing does have many limitations, like real-time processing, security, scalability etc. Cloud needs to work together with the end point to achieve the best result. in the presentation, I will introduce the concept, example and progress of edge computing, as well as the challenges we are facing to push more computing and analytics to the edge.
高速移動網路新時代 - 雲端與物聯網發展新趨勢 (An Integration Trend of Terminal Devices, IoT and C...William Liang
(DIGITIMES 2016微控制器技術論壇演講投影片)
廣義物聯網範疇包括終端裝置、網路、雲端、及感測裝置等等。由於技術的成熟，越來越多的裝置將可整合嵌入式系統的軟硬體及連網能力，因而變得更智慧化。隨著高速網路越來越成熟，雲端將與物聯網及終端的距離越來越近。這個主題中，我們將探討物聯網發展趨勢以及 4G/5G 等高速移動網路將如何影響物聯網與移動終端的架構。和沛移動透過獨創的『雲記憶延伸技術 (CME)』與 Data-centric IoT 架構，將裝置本地與雲端空間無縫融合，讓開發者不再需要處理雲端接取細節，也讓使用者不再受到裝置容量限制，而能盡情享受雲端終端整合為生活帶來的便利與優點。
In this presentation, a possible integration trend of the IoT, Mobile Terminals, and Cloud for the emerging 4G/5G high-speed mobile networks will be introduced. Hope Bay Mobile Inc. has proposed the patented “Cloud Memory Extension (CME)” Technology and the “Data-centric IoT” architecture, so that the system space of the mobile and IoT devices can be merged with the cloud storage seamlessly. In this way, the logical space of the devices could be extended without any limitation. Developers will be able to create applications easily since the details of the device-to-cloud communications has been hidden; instead, cloud data can be accessed from within the device local file systems directly.
With the fast technological progress of sensors, processors, operating system and AI, more and more data are generated and processed. Cloud computing is usually the 1st choice for such tasks, however, cloud computing does have many limitations, like real-time processing, security, scalability etc. Cloud needs to work together with the end point to achieve the best result. in the presentation, I will introduce the concept, example and progress of edge computing, as well as the challenges we are facing to push more computing and analytics to the edge.
14. 内容提要
❖ 移动互联网
❖ 移动终端中的 Camera
❖ Camera 相关技术 / 应用
❖ Android Camera 架构
❖ uCam
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15. Camera 相关 – 人脸识别
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16. Camera 相关 - 跟踪
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17. Camera 相关 – 二维码
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18. Camera 相关 – 虚拟现实
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19. 内容提要
❖ 移动互联网
❖ 移动终端中的 Camera
❖ Camera 相关技术
❖ Android Camera
❖ uCam
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20. Android Camera
Camera App Camera Linux Driver
V4L2
Camera Android API Camera HAL
JNI
binder
Camera Client Camera Service
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21. Android Camera
Camera
Camera API Surface API
JPEG
Preview
Camera Service SurfaceFlinger Overlay
Camera HAL
Camera Linux Driver SurfaceFlinger Overlay
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22. Android Camera
Camera
MediaRecorder API Surface API
MediaRecorder
Preview
Camera Service
StageFright SurfaceFlinger Overlay AudioFlinger
OpenCore
Camera HAL OpenMax Audio HAL
Camera Driver HW Codec SurfaceFlinger Overlay Audio Driver
10/06/12 ThunderSoft Confidential 22
23. Android Camera
❖ ICamera.h
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