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Edge Camera System Using Dee p Learning Method with Model Compression on Embedded Applications.

, and . ICCE, page 1-4. IEEE, (2020)

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Development of Edge Camera System for Vehicle Detection System Using Local AI Optimizer Based on Minimum Network Resource., , , and . ICUFN, page 602-607. IEEE, (2023)Mono-camera based side vehicle detection for blind spot detection systems., , , and . ICUFN, page 147-149. IEEE, (2015)Real-Time Drowsiness Detection Algorithm for Driver State Monitoring Systems., , , , and . ICUFN, page 73-75. IEEE, (2018)Fast and reliable two-wheeler detection algorithm for blind spot detection systems., , , and . ICTC, page 513-516. IEEE, (2017)Integrating Multiple Inferences for Vehicle Detection by Focusing on Challenging Test Sets., , , and . AVSS, page 1-6. IEEE, (2018)Imagery based Parametric Classification of Correct and Incorrect Motion for Push-up Counter Using OpenPose., , and . CASE, page 1389-1394. IEEE, (2020)Adaptive Multi-Path Routing with Guaranteed Target-Delivery Ratio of Critical Events in Wireless Sensor Networks., , and . IEICE Trans. Commun., 93-B (2): 392-395 (2010)Fast and reliable tracking algorithm for on-road vehicle detection systems., , , , and . ICUFN, page 70-72. IEEE, (2016)Low-Cost Real-time Driver Drowsiness Detection based on Convergence of IR Images and EEG Signals., , , and . ICAIIC, page 438-443. IEEE, (2021)UA-DETRAC 2018: Report of AVSS2018 & IWT4S Challenge on Advanced Traffic Monitoring., , , , , , , , , and 26 other author(s). AVSS, page 1-6. IEEE, (2018)