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ÇѱÛÇ¥Áظí ÀÚµ¿Â÷ ÁÖÇà»ç°í ¹æÁö¸¦ À§ÇÑ ¿µ»ó ¼Ó¼º ±¸Á¶È­ ±â¼ú ¼º´É Æò°¡ Áöħ
¿µ¹®Ç¥Áظí Guideline for Certification of Image Attributes Structuralization Technology for Vehicles Accident Prevention
Çѱ۳»¿ë¿ä¾à 2013³â »ý»êµÈ Àü ¼¼°è ÃÑ µ¥ÀÌÅÍ·®Àº 4,4Á¶ ±â°¡¹ÙÀÌÆ®¸ç, 2020³â¿¡´Â ¾à 10¹è°¡ Áõ°¡ÇÑ 44Á¶ ±â°¡¹ÙÀÌÆ®¿¡ ´ÞÇÒ °ÍÀ¸·Î Àü¸ÁÀÌ µÈ´Ù(Digital Universe of Opportunities º¸°í¼­, EMC 2014). ÀÌ·¸°Ô ¹æ´ëÇÑ µ¥ÀÌÅÍ´Â ÁÖ·Î ¿µ»ó°ú °°Àº ºñÁ¤Çüµ¥ÀÌÅÍ·Î ±¸¼ºµÅ ÀÖÀ¸¸ç, ÀÌ Áß ½ÇÁ¦·Î ºÐ¼®ÀÌ ÀÌ·ïÁö´Â ºñÀ²Àº 5% Á¤µµµµ ±× È°¿ëµµ°¡ ¸Å¿ì ¶³¾îÁö°í ÀÖ´Ù. ÀÌ·¯ÇÑ ¹è°æÀ¸·Î´Â ´ë·®ÀÇ µ¥ÀÌÅ͸¦ ó¸®ÇÒ ¼ö ÀÖ´Â ÄÄÇ»ÅÍ H/W(¿¬»ê ¹× ÀúÀå ÀåÄ¡)ÀÇ ºÎÀç¿Í À̵éÀ» ó¸®, ºÐ¼®ÇÏ´Â S/W(¾Ë°í¸®Áò)ÀÇ ±â¼úÀû ÇÑ°è µîÀ» µé ¼ö ÀÖ´Ù.

ÃÖ±Ù¿¡ µîÀåÇÑ µö ·¯´×(Deep Learning) ±â¼úÀº, °í¼º´É GPU ÄÄÇ»Æà ÀåÄ¡ÀÇ µîÀå°ú °úÀûÀÀ(over-fitting) µîÀÇ ±â¼úÀûÀÎ ¹®Á¦ÀÇ ÇØ°á, ±â¼úÀ» Àû¿ëÇÒ ¼ö ÀÖ´Â ´ë¿ë·®ÀÇ µ¥ÀÌÅÍ(big data)ÀÇ ¹ß»ýÀ¸·Î ¿µ»ó, À½¼º ¹× SNS
µ¥ÀÌÅÍ¿Í °°Àº ºñÁ¤Çüµ¥ÀÌÅ͸¦ È¿À²ÀûÀ¸·Î ó¸®, Çؼ®ÇÒ ¼ö ÀÖ°Ô µÇ¾ú´Ù.

µö ·¯´×À» ÀÌ¿ëÇÑ ¿µ»ó ¼Ó¼º ±¸Á¶È­ ±â¼úÀº, ´ë¿ë·®ÀÇ ¿µ»ó(À̹ÌÁö, ºñµð¿À µî)À» ºÐ¼®ÇÏ¿©, ¿µ»óÀÌ Æ÷ÇÔÇÏ°í ÀÖ´Â Á¤º¸(¼Ó¼º)¸¦ Àǹ̷ÐÀûÀ¸·Î Çؼ®ÇÏ¿© ¿µ»óÀÇ ³»¿ëÀ» ¼­¼ú(description)ÇÏ´Â ±â¼úÀÌ´Ù. ÀÌ·¯ÇÑ ¿µ»ó ¼Ó¼º ±¸Á¶È­ ±â¼úÀº ¿µ»ó °¨½Ã³ª ÀÚµ¿Â÷ÀÇ ÀÚÀ²ÁÖÇà¿¡ À¯¿ëÇÏ°Ô È°¿ëÇÒ ¼ö Àִµ¥ ƯÈ÷, ÀϹݵµ·Î³ª Ⱦ´Üº¸µµ¿¡¼­ ¾î¸°À̳ª ³ë¾àÀÚ°¡ ÀÚµ¿Â÷¿Í ¹ß»ýÇÒ ¼ö ÀÖ´Â °¢Á¾ »ç°í(¾î¸°À̳ª ³ëÀÎÀÇ Á¤Áö ¹× º¸Çà ½Ã È¤Àº ÀÚÀü°Å³ª ÀÌ·ûÂ÷ ž½Â ÁÖÇà ½Ã ÀÚµ¿Â÷¿ÍÀÇ Á¢ÃË È¤Àº Ãæµ¹»ç°í µî)¸¦ »çÀü¿¡ °¨ÁöÇÏ¿© ¿¹¹æÇÒ ¼ö ÀÖ´Ù

º» Ç¥ÁØ¿¡¼­´Â, ¿µ»ó ¼Ó¼º ±¸Á¶È­ ±â¼úÀÇ °³¿ä¿Í ÀÀ¿ë ºÐ¾ß ¹× »ç·Ê¸¦ ¼³¸íÇÏ°í, ´ëÇ¥ÀûÀÎ ÀÀ¿ëºÐ¾ßÀÇ ÇϳªÀÎ ÀÚµ¿Â÷ ÁÖÇà Áß ³ë¾àÀÚ³ª ¾î¸°ÀÌ¿ÍÀÇ Ãæµ¹ »ç°í¹æÁö¸¦ À§ÇÑ ¿µ»ó ¼Ó¼º ±¸Á¶È­ ±â¼úÀ» °´°üÀûÀ¸·Î Æò°¡ÇÒ ¼ö ÀÖ´Â ¹æ¹ý, ÀýÂ÷¿¡ ´ëÇÑ ÀÎÁõ¼­ÀÇ ±Ô°ÝÀ» Á¦Á¤ÇÏ¿©, »ç¿ëÀÚ°¡ Ç¥ÁØÈ­µÈ ¿µ»ó ¼Ó¼º ±¸Á¶È­ ±â¼úÀÇ ÀÎÁõ¼­ÀÇ ³»¿ëÀ» Åä´ë·Î ÀÚ½ÅÀÇ ¸ñÀû¿¡ µû¶ó ±â¼úÀ» ¼±ÅÃÇÏ¿© »ç¿ëÇÒ ¼ö ÀÖµµ·Ï ÇÏ¿´´Ù.
¿µ¹®³»¿ë¿ä¾à Big Data and A.I. are playing an important role in ICT, Digital Content and Auto Driving Car industry. Deep learning, utilizing these technologies, can be used and applied in many practical applications, vehicles accident prevention especially,

Image attributes structuralization technology based-on Deep learning is core element in extracting attributes and searching information of image. These attributes and information of the image enable a safe and comfortable driving by preventing the risk in advance, honking the horn to unattended appearance of human(children and the elderly) or automatic stop of the car.

In the standard, evaluation method and certification procedure are defined as the guideline for selecting and valuation of image attributes structuralization technology or software.
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