公开(公告)号：MY188207A

公开(公告)日：2021-11-24

申请号：MYPI2014002834

申请日：2014-10-02

Applicant: MIMOS BERHAD

Inventor： YONG KEH KOK ,  FAZLI BIN MAT NOR ,  CHUA MENG WEI ,  ETTIKAN KANDASAMY A/L KARUPPIAH

IPC: G06F12/00

Abstract: A system for processing multiple queries comprising a preprocessor (126) for processing input data into a preprocessed file structure (130) suitable for being processed by parallel instruction sets; a query analyser (136) for processing a plurality of input queries (602) into parallel instruction sets (340) which are grouped and rearranged into an optimized order; and a GPU query execution engine (138) for distributing the preprocessed input data across multiple GPU cores and executing the parallel instruction sets thereon. (Figure 1)

公开(公告)号：MY185865A

公开(公告)日：2021-06-14

申请号：MYPI2012004072

申请日：2012-09-13

Applicant: MIMOS BERHAD

Inventor： MOHANAVELU MUDALIAR A/L SENAPEN ,  LIM OON LEONG ,  ETTIKAN KANDASAMY A/L KARUPPIAH ,  ONG HONG HOE ,  SOO SAW MENG

IPC: G06T7/00

Abstract: An image processing system (2) comprising a plurality of imaging sources (4, 4') for capturing images and/or video; a central processing unit (38) for processing the images and/or video; at least one graphics processing unit (40) for further processing the images and/or video received from the central processing unit; wherein the central processing unit (38) includes a prioritization unit for assigning one or more priority values to the images and/or video based on the location (26, 26') of the imaging sources and/or the rating (24, 24') of the images and/or video, selectively concatenating (28) the images and/or video with priority values above a predetermined threshold, and transferring (136) the concatenated data to the at least one graphics processing unit (40).

公开(公告)号：MY173428A

公开(公告)日：2020-01-23

申请号：MYPI2014002432

申请日：2014-08-20

Applicant: MIMOS BERHAD

Inventor： ETTIKAN KANDASAMY A/L KARUPPIAH ,  SHAHIRINA BINTI MOHD TAHIR ,  ONG PENG SHEN ,  NGO CHUAN HAI ,  LEE CHIN YANG

Abstract: Video Analytics (VA) is a compute intensive and time consuming process. The method and apparatus (100) of the present disclosure addresses this problem by creating a parallel mechanism for data reuse and eliminating resource and compute redundancy for multiple video analytics execution. The method involves identifying common VA modules for execution across VA operations (14, 16), collating outputs of the executed VA modules in a parallel configuration (18, 18.2) and analysing the collated outputs for detecting occurrence of an event associated with pre-defined specifications (20). Fig. 1

公开(公告)号：MY184711A

公开(公告)日：2021-04-19

申请号：MYPI2013700746

申请日：2013-05-08

Applicant: MIMOS BERHAD ,  MULTIMEDIA UNIV

Inventor： ETTIKAN KANDASAMY A/L KARUPPIAH ,  SHAHIRINA BINTI MOHD TAHIR ,  ONG PENG SHEN ,  CHANG YOONG CHOON ,  OOI CHEE PUN

Abstract: The present invention relates to a system and method for detecting an object. The system and method reduce the amount of computations needed in detecting and tracking the moving object by predicting the motion of the object in the following frames. Thus, the system (1000) is able to focus on computing a portion of the frame where the object has been predicted to be in. The system (1000) comprises of an image acquisition module (1100), a buffering module (1200), a pre-processor (1300), an image sub-segmenting module (1400), an image sub-segment module (1500), a main processor (1600), an object feature extracting module (1700), a predictive module (1800) and an object and priority evaluator (1900). (Figure 1)

公开(公告)号：MY178650A

公开(公告)日：2020-10-20

申请号：MYPI2015001665

申请日：2015-06-29

Applicant: MIMOS BERHAD

Inventor： TEOH EE NA ,  MOHD AMRIL NURMAN BIN MOHD NAZIR ,  ETTIKAN KANDASAMY A/L KARUPPIAH ,  NGO CHUAN HAI

Abstract: The present invention relates to systems and methods for detecting abnormal instances in a dataset for a given time granularity (e.g., daily, weekly, monthly). The system comprises a pre-processing module (202) that receives a plurality of raw transactions and.generates one or more time instance, Tl datasets based on a defined time granularity and a data restructuring and re-clustering module (212) that.selects at least one optimal cluster model by iteratively clustering the Tl datasets and re-structuring normal transactions of the clustered Tl dataset with a subsequent Tl dataset of one or more Tl datasets using multiple cluster models. The optimal cluster model is then used for processing new transactions for detecting anomalies by running a new Tl dataset generated for the new transactions on the optimal cluster model for clustering them into an abnormal cluster having highest number of abnormal transactions and at least one normal cluster having normal transactions.

公开(公告)号：MY162260A

公开(公告)日：2017-05-31

申请号：MYPI2012004012

申请日：2012-09-10

Applicant: MIMOS BERHAD

Inventor： MOHANAVELU MUDALIAR A/L SENAPEN ,  LIM OON LEONG ,  ETTIKAN KANDASAMY A/L KARUPPIAH ,  ONG HONG HOE ,  SOO SAW MENG

IPC: H04N7/18 ,  G08B13/196 ,  H04N5/232

Abstract: AN IMAGE PROCESSING SYSTEM (2) COMPRISING AT LEAST ONE IMAGING SOURCE (4) FOR CAPTURING IMAGES AND/OR VIDEO, ONE OR MORE GRAPHICS PROCESSING UNITS (28) FOR PROCESSING THE IMAGES AND/OR VIDEO, AT LEAST ONE MONITORING COMPONENT (26) FOR MONITORING THE PROCESSING LOAD OF THE GRAPHICS PROCESSING UNITS (28), AND A LOAD ADJUSTER COMPONENT (30) FOR ADJUSTING THE PROCESSING LOAD OF THE GRAPHICS PROCESSING UNITS (28) BY INCREASING OR REDUCING THE RATE AT WHICH IMAGES AND/OR VIDEO ARE CAPTURED BY THE IMAGING SOURCE (4). [FIGURE 2]

公开(公告)号：WO2014182156A1

公开(公告)日：2014-11-13

申请号：PCT/MY2014/000083

申请日：2014-04-28

Applicant: MIMOS BERHAD ,  MULTIMEDIA UNIVERSITY

Inventor： SHAHIRINA BINTI MOHD TAHIR ,  ETTIKAN KANDASAMY A/L KARUPPIAH ,  ONG PENG SHEN ,  CHANG YOONG CHOON ,  OOI CHEE PUN

IPC: G06T7/20

CPC classification number: G06T7/254 ,  G06T2200/28 ,  G06T2207/20021 ,  G06T2207/30232

Abstract: The present invention relates to a system and method for detecting an object. The system and method reduce the amount of computations needed in detecting and tracking the moving object by predicting the motion of the object in the following frames. Thus, the system (1000) is able to focus on computing a portion of the frame where the object has been predicted to be in. The system (1000) comprises of an image acquisition module (1100), a buffering module (1200), a pre-processor (1300), an image sub-segmenting module (1400), an image sub-segment module (1500), a main processor (1600), an object feature extracting module (1700), a predictive module (1800) and an object and priority evaluator (1900).

Abstract translation: 本发明涉及一种用于检测物体的系统和方法。 该系统和方法通过预测下一帧中物体的运动来减少检测和跟踪移动物体所需的计算量。 因此，系统（1000）能够专注于计算已经预测对象的帧的一部分。系统（1000）包括图像获取模块（1100），缓冲模块（1200） 预处理器（1300），图像子分割模块（1400），图像子段模块（1500），主处理器（1600），对象特征提取模块（1700），预测模块（1800） 和对象和优先级评估器（1900）。