Drone delivery is a popularemerging application at present. However, existing drone delivery systems can only deliver to outdoor open spaces via GPS,cannot directly to the interior of recipient＇s building. In the era of covid-19 pandemic, we aim to reduce human contactpropose a drone delivery system that can deliver packages to the doorstepthe interior of buildings,to achieve fully automatic control of the drone by developing visual positioning technique.

With our autonomous UAV systems, we can effectively reduce many high-riskhigh-cost inspections which require high manpower, such as inspections of dams, river, coastline patrols, etc Operators only need to setuplaunch the system to allow the UAV to complete the designated tasks independently. The UAV will fly autonomously through visual navigation,will detect, record, measuremark the specified objects accordingly, while updating information to the satellite aerial image using spatial positioning technology, so that stakeholders can have a more comprehensive understanding on overall situation.

Let drone parks on the wireless charging stand,after the capacitor is stored, the drone is allowed to flythe wireless charging stand can be set at several different predetermined places, so that the drone is in flight, ifWhen the power supply unit is insufficient in power, it flies to the wireless charging stand to perform wireless charging operation,the overall flight distance can

This technology integrates 1000+ times of UAV imaging experiences with labeled rice lodging images for training. A rice lodging recognition model using deep learning reaches 90 accuracy. The recognition model can be deployed in a microcomputer mounted on UAVs to implement edge computing. While taking aerial images, the inference can be completedreveal lodging areadamage level in-time.

The Air/Ground cooperation for optimal rice harvesting model is established to provide a visual harvesting decision service on a cloud platform. Drones and mobile devices are employing to estimate grain moisture and forecast the variation of harvest moisture content (HMC) in the coming days by huge amounts of imagery data, deep learning algorithms, and weather forecasts. This model can benefit in several aspects, such as setting an accurate and comprehensive optimal harvest schedule, reducing the cost of agricultural apparatus and barn ovens, ensuring the rice quality, and maximizing farmers' benefits. The potential value of the model practice could be more than a billion in Taiwan.

"The Crowdsourcing UAV Platform for AI Agricultural Survey(AIAS) provides automatic mosaicing serviceis equipped with four breakthrough technologies, including (1)massive images gridㄒding, (2)parallel computing technology, (3)UAV task specification standardization,(4)UAV task matchmaking. AIAS platform is committed to creating aerial UBER crowdsourcing services in various aspects, such as (1)crop distribution surveys, (2)large-scale lodging surveys, (3)agricultural insurance investigation, (4)surveys on illegal use of farmland,(5)surveys on the subsidy of fallow."

This technology mainly uses magnetic resonance wireless energy transmission technology to effectively improve the non-contact charging efficiency.

This study proposes a double elastic steel sheet vibration energy harvester system (DESS VEH), where the vibration generated by the deformation and/or clap of two magnetic excited elastic steel sheets is assisted by a piezo-patch to generate electric energy. The proposed model can be applied on an unmanned helicopterany other multi-rotor drones. The downstream flows from the rotors are collecteddriving a wind-turbine to excite the vibration steel sheet(s) systemgenerating electric power.

We developed an advanced communication system which combines edge computing, AI,drones as communication vehicles. Through the integration of platform technologyinnovative technical services, it realizes human centric precise, accurate, long-term,remote intelligentprecise mobile communication services. The prototype of the advanced communication system has completed field verification to show the application of human centric smartprecise mobile communication services.

iTech has developed an Innovative Wireless Positioning&Tracking System. iShield can simultaneously detect drones & operators. iPosition tracks thousands of targets indoor. iFollow is an auto-following function for smart droids.

NCREE has originally developed 5D digital space—on the basis of 3D city modelsconnections of different kinds of sensors around the world— is an online to offline virtual space with a combination of rising 5G technology advantages. Collectingreorganizing various 3D cartographic data with Building Information Modeling (BIM), satellite imagery, UAV 3D modeling, LiDar point cloud data, etc., can increase the diversity of the buildinglandscape. 5D+5G smart city platform would accelerate the 5D smart city to become the digital twin of a real city.

This technology aims to develop a set of UAV observationmonitoring technology for the atmospheric boundary layer. The Key technologies include mission-oriented integration technology, ultra-high vertical flight capability, long-distance data wireless transmission, real-time data displaycorrection, automatic take-off, data analysis technology,data upload to the cloud in 4G. This technology has participated in international experimentshas entered the stage of international promotion.

We proposed a positioning integrated gyroscope (PIG) with a unit price of less than US$3,000. A pilot test was conducted in the tunnel section. The positioning error of the MEMS gyroscope was 4,300 meters at a moving distance of 7.8 kilometers,because there was no GNSS signal in the tunnel. The signal of GNSS module only uses the built-in IMU for positioning, the maximum error is also 348 meters. We move 7.8 kilometers, the error is 89 meters73 meters, the overall error are MEMS (55), GNSS (4.5),the team＇s module (1.1), the internationally marketed inertial FOG (0.9).

We develop the new neural network architecture to improve execution speedaccuracy. The result shows that our AI detection system can run on a microcomputer in real-time, meanwhile its accuracy 90. We put that microcomputer on a dronereturn the result to smartphone App in real-time.

NCREE has originally developed 5D digital space—on the basis of 3D city models and connections of different kinds of sensors around the world—is an online to offline virtual space with a combination of rising 5G technology advantages. Collecting and reorganizing various 3D cartographic data with Building Information Modeling (BIM), satellite imagery, UAV 3D modeling with high-resolution cameras, LiDar point cloud data, etc., can increase the diversity of the building and landscape to make the city more realistic. 5D+5G smart city platform speeds up all aspects of value-add applications of smart cities, including Intelligent Transportation System (ITS), Smart Energy (SE), and Ambient Intelligent (AmI). We expect that the 5D smart city becomes the digital twin of a real city.

Dynamic vision sensors have been investigated to report motion-only images for moving object recognition. Less but essential information helps post-process recognition algorithm reduces computationimproves accuracy. Implement low powerlow latency deep Learning chip based on neuromorphic Intelligence. The neuromorphic obstacle detection algorithm integrates visualproprioceptive signals. The algorithm is characterized by its efficiencylow power consumption. We possess the next-generation in-memory computing AI chipsnext-generation UAV key softwarehardware technology