MIKHAIL AKOPYAN
Pilots at East St, North Sudbury, MA

License number
Massachusetts A4137228
Issued Date
Oct 2016
Expiration Date
Oct 2018
Category
Airmen
Type
Authorized Aircraft Instructor
Address
Address
38 East St EAST, North Sudbury, MA 01776

Personal information

See more information about MIKHAIL AKOPYAN at radaris.com
Name
Address
Phone
Mikhail Akopyan
Sudbury, MA
(978) 443-2936
Mikhail V Akopyan, age 64
184 Mill St, Natick, MA 01760
(508) 655-3966
Mikhail V Akopyan, age 64
184 Mill St, Natick, MA 01760
(508) 655-3966
Mikhail V Akopyan, age 64
38 East St, Sudbury, MA 01776
(978) 443-2936
Mikhail V Akopyan, age 64
38 East St, Sudbury, MA 01776
(978) 443-2936

Professional information

Mikhail Akopyan Photo 1

System And Method For Capturing And Detecting Symbology Features And Parameters

US Patent:
2010020, Aug 12, 2010
Filed:
Feb 9, 2010
Appl. No.:
12/703077
Inventors:
Michael C. Moed - Hopkinton MA, US
Mikhail Akopyan - Sudbury MA, US
Assignee:
COGNEX CORPORATION - Natick MA
International Classification:
G06K 7/10
US Classification:
235470
Abstract:
This invention provides a system and method for capturing, detecting and extracting features of an ID, such as a 1D barcode, that employs an efficient processing system based upon a CPU-controlled vision system on a chip (VSoC) architecture, which illustratively provides a linear array processor (LAP) constructed with a single instruction multiple data (SIMD) architecture in which each pixel of the rows of the pixel array are directed to individual processors in a similarly wide array. The pixel data are processed in a front end (FE) process that performs rough finding and tracking of regions of interest (ROIs) that potentially contain ID-like features. The ROI-finding process occurs in two parts so as to optimize the efficiency of the LAP in neighborhood operations—a row-processing step that occurs during image pixel readout from the pixel array and an image-processing step that occurs typically after readout occurs. The relative motion of the ID-containing ROI with respect to the pixel array is tracked and predicted. An optional back end (BE) process employs the predicted ROI to perform feature-extraction after image capture. The feature extraction derives candidate ID features that are verified by a verification step that confirms the ID, creates a refined ROI, angle of orientation and feature set. These are transmitted to a decoding processor or other device.