Smart Home Robots
US20140207282 illustrates a household robot that can take care of your home. The household robot can monitor the state of a home, clean the home and turn on/off various appliances for you automatically and transmit the surveillance data to you in an emergency condition detected by the robot. As illustrated in US20150224640 the household robot even can take care of your health. The robot can carry on a dialogue with the resident, and check your health condition and reinforce compliance with medication. US20140277735 illustrates the friendly, helpful and intelligent home robot that can adapt to reside continually in the environment of a person and to interact with a user. The home robot can provide emotional engagement with the user. The home robot can sense and respond and learn as the user engage with the home robot. Furthermore, the home robot can prepare your favorite food as indicated by US20150290795 and WO2014190217 by combing robotics, artificial intelligence and 3D printing technology.
Intelligent Personal Assistant
Intelligent personal assistant can help you in your everyday life. US20150237470 illustrates a system for providing location-based services triggered by a personal geofence. A mobile device can determine that a venue located at a geographic location and frequently visited by the mobile device in the past is associated with a particular item, service, or activity. Using past behavior patterns and a current location, the mobile device can determine a condition to trigger execution of an application program or display of certain content using the 3D holographic projections as illustrated in US 20150220058. The condition can be personalized to match a life style of a user of the mobile device. As the shopping mall, the intelligent personal assistant directs you to the available parking space and guides you to the specific shopping place as illustrated in US20150215744. As illustrated in US20150169659, the intelligent personal assistant can be automatically generate your daily exercise plan. The intelligent personal assistant monitors and stores your health related data and provides alerts and notifications to you and your healthcare providers as illustrated in US20140316792.
Smart Driver Assistant
US20150149042 illustrates a connected car system that can provide user-specific preferences based on user profile information provided by the mobile devices. The vehicle controller can implement user-specific preferences stored in association with the detected mobile device. Preferences can include seat adjustments, temperature controls, mirror adjustments, music settings, and other similar adjustable vehicle features. US20140063064 illustrates a method of providing information about a predetermined external vehicle using an augmented reality displaying method by mapping the actual image of the external vehicle with a map. The smart driver assistant can provide a map for alternative route to a specific destination when traffic congestion is expected as illustrated in US20150170522.
Cloud based IoT SaaS
Cloud based software as a service (SaaS) enables cost effective value added services for many IoT applications such as smart home, connected healthcare and preventive maintenance of industrial equipment. The cloud based IoT SaaS system provides a virtual IoT sensors/devices cloud as an Infrastructure as a Service (IaaS), and a service cloud as a SaaS, to provide a flexible and scalable system. The IaaS provides flexibility by handling heterogeneous IoT sensors/devices. The SaaS provides scalability by relieving end users of computational overheads, and enabling on-demand sharing of IoT sensors/devices data to requesting end users. The SaaS also relieves end users from specifying IoT sensors/devices characteristics, locating physical IoT sensors/devices, and provisioning for the physical IoT sensors/devices. The end user, via a device (e.g., smartphone), requests and receives services provided by the system. US20150227118 illustrates the cloud based IoT SaaS system for facilitating automatic control of the smart home devices based on past device behavior, current device events, sensor data, and/or server-sourced data. Cloud-based big data analytics is accessible via a server system for analyzing data associated with persons or buildings in a geographic region about the building, such as local news and weather information and data pertaining to appliances within the geographic region, such as a neighborhood, zip code, and so on. The analyzed data is used to develop the control rules to control smart home devices automatically. US20130227569 illustrates the system that can gather data from thousands of the IoT sensors/devices and analyze the data without the massive amount of investment in the server and big data analytics infrastructure.
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Next Generation of Systems Design at Siemens