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Technical category
技術研發單位
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    • Intelligent image-guiding needle puncture

      Precision Health Ecosystem FutureTech Intelligent image-guiding needle puncture

      Optical coherence tomography using an optical probe with a diameter of 0.9 mm, combined with the 14-18 gauge needle, is used for clinical needle puncture. Using the real-time image obtained from the tip of the needle in the tissue, the needle position can be identified. Combined with artificial intelligence can achieve objective, accurate and automatic identification of the tissue, which has been successfully verified in anesthesia and laparoscopic surgery.
    • Artificial Intelligent 3D Sensing Image Processing System for Array Sensing Lidar

      Smart machinerynovel materials FutureTech Artificial Intelligent 3D Sensing Image Processing System for Array Sensing Lidar

      High-accuracy 3D sensingAI image processing system for constructing high-quality immersion 3D image for AR/VR. Chaotic Lidar with APD arrayTOF sensors supports millimeter-accuracyinterference-avoiding capability. High-performance CNN processor supports high-performancelow DRAM bandwidth computations for various image AI applications.
    • Real-time identification of crop losses using UAV imagery

      AI & IOT Application FutureTech Real-time identification of crop losses using UAV imagery

      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.
    • Intelligent Image RecognitionAnalysis System for Small-sized Insect Pest

      AI & IOT Application FutureTech Intelligent Image RecognitionAnalysis System for Small-sized Insect Pest

      This study built an automatic insect pest image identification system based on tiny Yolov3 deep learning model. By optimizing the tiny Yolov3 detection model, images of insect pests on scanned sticky paper can be automatically identified. The system achieves a testing accuracy of 0.93, 0.90 for whitefliesthrips respectively.
    • Using 3-D Capsule Network for Nodule Detection in Lung CT Image

      AI & IOT Application FutureTech Using 3-D Capsule Network for Nodule Detection in Lung CT Image

      The computer-aided nodule detection system in CT image consists of the search sliding window, YOLOv2 architecture, 3-D CapsNet, skip connection,post-processing. First, the CT image is divided into numerous VOIs by sliding window. Second, a 3-D CapsNet based on YOLOv2 architectureskip connection is applied to the VOIs for classifying VOIs as nodulenot. Finally, the non-maximum suppression algorithm is performed to decide the final detection result.
    • Panchromatic CMOS TDI Image Sensor Design for Remote Sensing Satellite

      Electronic & Optoelectronics FutureTech Panchromatic CMOS TDI Image Sensor Design for Remote Sensing Satellite

      This project developed a CMOS Image Sensor (CIS) for the 2nd generation remote sensing satellite,its main achievement is to improve the ground resolution (also known as the Ground Sampling Distance, GSD) from 2 meters to sub-meter. The 12-cm large size chip of CMOS image sensor is implemented using Back-Side Illumination (BSI) CIS technology with mask stitching technologyutilizing the CMOS Time Delay Integration (CMOS TDI) technology in this design.
    • To develop a Guidance Robot for Blind based on image processingdeep learning

      AI & IOT Application Innotech Expo To develop a Guidance Robot for Blind based on image processingdeep learning

      This theme is designed to implement the robot's appearancepractical functions. Apply PSPNet to detect the walkable planeYolo to detect obstacles, so that the robot has the autonomous obstacle avoidance function, informing more information about the environmental obstacles around the visually impaired,apply CNN to locate indoor position with self-built indoor database.
    • Fabrication of Seamless Roller Molds by Fiber ArrayDigital Light Processing

      Electronic & Optoelectronics Innotech Expo Fabrication of Seamless Roller Molds by Fiber ArrayDigital Light Processing

      This research develops an innovative method for patterning arbitrarycomplicated 3D microstructures on metallic roller surfaces. This roller mold manufacturing system consists of digital light processing, arrayed microlensesoptical fibers,precision servo-controlled motion technologies. Based on this arrayed UV beam pen system, seamless roller molds are fabricated for roller imprintin
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