National Taiwan University

Ta-Te Lin

Joe-Air Jiang

En-Cheng Yang

Tai-Hsien Ou-Yang

Dan Jeric Arcega Rustia

Tzu-Shiang Lin

Chia-Pang Chen

Cheng-Long Chuang

Fu-Ming Lu

Chwan-Lu Tseng

Jyh-Cherng Shieh

Yung-Cheng Wu

Tsung-Cheng Lai

Jih-Tay Hsu

Kuo-Chi Liao

Shih-Torng Ding

Chen-Tung Yen

Wei-Tai Chen

Wen-Dien Chang

Cheng-Yu Kuan

Ying-Tung Hsiao

Ping-Lin Fan

Wan-Lin Hu

Cheng-Shiou Ouyang

Man-Miao Yang

Chien Erh Lin

Yu-Chi Tsai

Chang-Chih Liu

Lin-Ya Chiu

Meng-Li Tsai

A graded early warning system for pest quantity counting includes: at least one image capturing device used to capture images of at least one pest trapping device in an environment to generate at least one pest trapping image; at least one environment monitoring and sensing device used to detect the environment to generate at least one environment parameter; at least one pest detecting and identifying device used to detect quantities and species of multiple pests based on the at least one pest trapping image; and a cloud server used to receive the at least one pest trapping image, the at least one environment parameter, and the quantities and species of multiple pests; wherein the cloud server immediately establishes pest probability models, generates early warning signals, and prompts suppression decisions according to the at least one environment parameter and the quantities and species of multiple pests.

Graded early warning system for pest quantity counting

A feeding analysis system of milk-production livestock includes a plurality of image analysis devices and a central server signally connected to each image analysis device. Each image analysis device is configured to capture a plurality of images of a feeding field, perform a clear processing on the images, identify a plurality of facial images of the plurality of milk-production livestock for feeding action from the cleared images and generate a plurality of capturing signals by capturing the plurality of facial images and a feeding duration corresponding to the facial images, and transmit the capturing signals to the central server. The central server is configured to receive the capturing signals, identify the milk-production livestock identities of the facial images of the corresponding capturing signal and generate a feeding record by integrating the identified milk-production livestock identity and the feeding duration of the capturing signal.

Feeding analysis system

A pest surveillance system comprising at least one pest monitoring apparatus and a main server is provided. The pest monitoring apparatus comprises an image capturing device, an environmental status sensing device, a controller and a network transmitter. The at least one pest monitoring apparatus is disposed in at least one space. The image capturing device is used for capturing an image of a pest catcher and generating an original image. The environmental status sensing device is used for detecting environmental status and generating an environmental parameter. The network transmitter is coupled to a network. The main server is connected to the network and receives the at least one original image and the at least one environmental parameter. An image processor of the main server calculates each original image according to each environmental parameter and generates a pest status data.

Pest surveillance system

The weight measurement instrument includes a support frame, a plant holder, and a load cell. The plant holder is assembled with the support frame and has an upper opening and a lower opening, a hydroponic plant can be planted in the plant holder and grow towards the upper opening and the lower opening; the load cell is fixed with the support frame and is used for measuring the total weight of the hydroponic plant automatically. A method for measuring the total weight of the hydroponic plant automatically is also provided.

Plant growth weight measurement instrument and method thereof

An image reconstruction method adapted to use with a planting bed is provided. The planting bed is constituted by a work platform disposed on a work plane and for supporting a plurality of plants thereon. The image reconstruction method includes steps of: capturing a plurality of images of the work platform from different positions on a monitoring plane to obtain a plurality of image data, wherein the monitoring plane is opposite to the work plane, the monitoring and work planes are parallel to each other in a visible range and have a predetermined distance therebetween; and performing an image stitching algorithm to stitch the image data into a two-dimensional image of the planting bed. A monitoring system of a planting bed is also provided.

Monitoring system and image reconstruction method for planting bed

An exemplary locomotion analysis method includes steps of: acquiring a depth map including an image of a measured object, filtering out a background image of the depth map according to a depth threshold, finding out the image of the measured object from the residual image of the depth map, calculating three-dimensional (3D) coordinates of the measured object according to the image of the measured object has been found out, recording the 3D coordinates to reconstruct a 3D moving track of the measured object and performing a locomotion analysis of the measured object according to the 3D moving track. Moreover, an exemplary locomotion analysis apparatus applied to the above method also is provided.

Locomotion analysis method and locomotion analysis apparatus

A bio-information monitoring system is provided. The bio-information monitoring system comprises a wireless sensor and a first wireless network node. The wireless sensor senses at least a bio-information. The first wireless network node collects the bio-information, wherein the bio-information is monitored in response to a command from a second wireless network node to the first wireless network node.

Bio-information monitoring system

A positioning method for a sensor node is provided, and the method includes steps of: providing a first antenna having a first omnidirectional radiation pattern on a first plane; rotating the first antenna about an axis substantially parallel to the first plane; transmitting a wireless signal while the first antenna rotates about the axis for every a predetermined central angle; receiving the wireless signal at the sensor node; obtaining Received Signal Strength Indications (RSSIs) of the respective wireless signals; and determining a location of the sensor node according to the RSSIs.

Localization method and system thereof

An inspection apparatus for tomographing an object includes a moving unit and a rotating unit, which is disposed on the moving unit and rotates the object to be tomographed. A method for tomographing an object includes steps of disposing an object on an inspection apparatus; rotating the object by operating the inspection apparatus; and tomographing the object.

Portable inspection apparatus for X-ray tomography

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Taipei, Taiwan

Ta-Te Lin