DYNAMIC BASELINE DEPTH IMAGING USING MULTIPLE DRONES

    公开(公告)号:US20190052865A1

    公开(公告)日:2019-02-14

    申请号:US15856957

    申请日:2017-12-28

    Abstract: Systems and methods may include a drone or multiple drones to capturing depth information, which may be used to create a stereoscopic map. The drone may capture information about two trailing drones, including a baseline distance between the two trailing drones. Additional information may be captured, such as camera angle information for one or both of the two trailing drones. The drone may receive images from the two trailing drones. The images may be used (on the drone or on another device, such as a base station) to create a stereoscopic image using the baseline distance. The stereoscopic image may include determined depth information for objects within the stereoscopic image, for example based on the baseline distance between the two trailing drones and the camera angle information.

    Integrated IoT (Internet of Things) System Solution for Smart Agriculture Management

    公开(公告)号:US20180262571A1

    公开(公告)日:2018-09-13

    申请号:US15451420

    申请日:2017-03-07

    Applicant: Sabrina Akhtar

    Inventor: Sabrina Akhtar

    Abstract: Currently there is no viable end to end integrated technology solution platform available to increase overall crop yield nor well established communication platform nor infrastructure for agriculture management, logistics, storage, distribution and delivery.This patent is offering a global solution to this problem where it will provide a consolidated and integrated IoT (internet of things) system platform with AI (artificial intelligence) where data collection, monitoring, control and communication platform are all managed using a single platform.The utility model relates to the technical field of wireless sensing, specifically an agricultural IoT (Internet of Things) monitoring device based on optical fiber sensing, wherein the device can monitor the temperature, humidity, vibration and other parameters of an agricultural cultivation base. The device is characterized in that the device is provided with a microcontroller, a parameter recorder and the parameter recorder is connected with the sensors. For example: soil temperature sensor and humidity sensors, a soil moisture sensor, a soil conductivity sensor, an air temperature and humidity transducer, a soil salinity sensor, etc.The upper computer is connected with the parameter recorder and the air temperature and humidity transducer through a communication circuit and using WiFi mesh network, data is transferred to a remote laptop or smartphone. Data is stored in cloud for predictive data analysis with AI and real time data analysis which automatically or remotely trigger proactive & preventive actions, thereby increasing crop yield, reduce water consumption and food waste during storage and streamlined logistics of food distribution to the market.User has the option to control how often data is generated and the relevant information. User can set automatic trigger to manage proactive and preventive action on the control system. User can also remotely access and manual set future action either via smart phone or tablet based on actionable output from predictive data analytics.This single integrated IoT system platform is providing end to end solution that is reliable, suitable and effective for agriculture, greenhouse, lawn/yard and garden (both indoor and outdoor) applications.This integrated IoT system is also applicable in various sector such as: Geotechnical soil testing, Oil and Gas Industries (drilling, flow control, oil pipeline management, oil refineries management), Air quality and Waste management, Semiconductor fabrication and Chemical Plant management, Oceanography and atmospheric/environmental science data monitoring for global warming, Fisheries/Aquaculture management, Data center and Cloud device management, Enterprise sustainability management, Inventory, logistics and Supply Chain management and Infrastructure (road, bridges, tunnels, dams, airports, electric grid) management.This integrated IoT system is also applicable to detect earthquake and tsunami where the sensor devices are embedded with multiple sensors installed in the buildings, bridges, bus stops, underground pits, lakes, roads, nearby mountains etc, different data can be captured and analyzed for earthquake predictability and structural integrity of the buildings to prevent collapse during earthquake, a smart alert is sent to mobile phones to authorities to minimize death and destruction.

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