<p><img src="https://dev-cms.kg-kairos.kr/uploads/1_A402_6_f8fa043941.png" alt="1-A402-6.png"></p><p>&nbsp;</p><p>&nbsp;</p><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
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</div></div><p>&nbsp;</p><p><span style="font-family:&quot;맑은 고딕&quot;;">물류 시스템에서 로봇 팔과 AGV를 활용해 자동화된 물류 분류 및 운송 솔루션을 개발하여, 작업 효율성을 극대화하고 작업자의 안전을 보장</span></p><p>&nbsp;</p><p>&nbsp;</p><hr><p>&nbsp;</p><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
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</div></div><p>&nbsp;</p><p><span style="font-family:&quot;맑은 고딕&quot;;">Python, OpenCV, ROS</span></p><p>&nbsp;</p><p>&nbsp;</p><hr><p>&nbsp;</p><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
  <div style="width: 172px; height: 33px; left: 0px; top: 0px; position: absolute; background: #3F2AA5; border-radius: 250px"></div>
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</div></div><h2>&nbsp;</h2><p>1. 로봇 팔을 이용해 10톤 간선차에서 물건을 안전하고 빠르게 꺼내어 컨베이어 벨트로 이송</p><p><br>2. QR 코드 인식을 통해 물품을 자동으로 분류하고, AGV가 해당 물품을 지정된 섹터로 운반</p><p><br>3. Deep Learning과 OpenCV를 활용해 이미지 전처리 및 실시간 물체 인식 기능 구현</p><p>&nbsp;</p><p>&nbsp;</p><hr><h2>&nbsp;</h2><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
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</div></div><h2>&nbsp;</h2><p><span style="font-family:&quot;맑은 고딕&quot;;">이◯, 장◯◯, 정◯◯, 서◯◯</span><br>&nbsp;</p><p>&nbsp;</p><hr><h2>&nbsp;</h2><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
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</div></div><h2>&nbsp;</h2><h2>2023.04.05 - 2023.06.17<br><br>&nbsp;</h2><hr><p>&nbsp;</p><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
  <div style="width: 172px; height: 33px; left: 0px; top: 0px; position: absolute; background: #3F2AA5; border-radius: 250px"></div>
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</div></div><p>&nbsp;</p><div class="raw-html-embed"><div style="position: relative; width: 100%; padding-bottom: 56.25%; height: 0; overflow: hidden;">
<iframe width="560" height="315" src="https://www.youtube.com/embed/tK0d2ebcdGQ?si=m2ORfgMJ3HvXuLoJ" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen="" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: 0;"></iframe>
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<p><img src="https://dev-cms.kg-kairos.kr/uploads/1_A403_10_50f6cb263f.png" alt="1-A403-10.png"></p><p>&nbsp;</p><p>&nbsp;</p><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
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</div></div><p>&nbsp;</p><p><span style="font-family:&quot;맑은 고딕&quot;;">인구 감소 및 병력 부족으로 인한 무인 시스템의 중요성 증가로 인해 군사력 향상과 병력 보호, 차세대 전투 시스템 구축</span></p><p>&nbsp;</p><p>&nbsp;</p><hr><p>&nbsp;</p><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
  <div style="width: 172px; height: 33px; left: 0px; top: 0px; position: absolute; background: #3F2AA5; border-radius: 250px"></div>
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</div></div><p>&nbsp;</p><p><span style="font-family:&quot;맑은 고딕&quot;;">ROS2, YOLOv5, AGV</span></p><p>&nbsp;</p><p>&nbsp;</p><hr><p>&nbsp;</p><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
  <div style="width: 172px; height: 33px; left: 0px; top: 0px; position: absolute; background: #3F2AA5; border-radius: 250px"></div>
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</div></div><h2>&nbsp;</h2><p>1. 밸런싱(짐벌 기능)을 통해 험난한 지역도 주행 가능</p><p>&nbsp;</p><p>2. YOLOv5를 통해 사람을 자동으로 Detection 하고 Tracking 가능</p><p>&nbsp;</p><p>3. 음성인식을 이용한 암구호를 통해 적군을 피아식별, 이용자의 최종 사격 명령을 통해 탄 발사</p><p>&nbsp;</p><p>&nbsp;</p><hr><h2>&nbsp;</h2><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
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</div></div><h2>&nbsp;</h2><h2>이◯◯, 김◯◯, 이◯◯, 조◯◯, 황◯◯<br>&nbsp;</h2><p>&nbsp;</p><hr><h2>&nbsp;</h2><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
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</div></div><h2>&nbsp;</h2><h2>2023.04.05 - 2023.06.17<br><br>&nbsp;</h2><hr><p>&nbsp;</p><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
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</div></div><p>&nbsp;</p><div class="raw-html-embed"><div style="position: relative; width: 100%; padding-bottom: 56.25%; height: 0; overflow: hidden;">
<iframe width="560" height="315" src="https://www.youtube.com/embed/KdrkyACkq6s?si=j2joZj2nEIwaVffe" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen="" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: 0;"></iframe>
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<p><img src="https://dev-cms.kg-kairos.kr/uploads/1_B402_20_1454bcad58.png" alt="1-B402-20.png"></p><p>&nbsp;</p><p>&nbsp;</p><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
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</div></div><p>&nbsp;</p><p><span style="font-family:&quot;맑은 고딕&quot;;">로봇과 자율주행 기술을 활용하여 재활용 쓰레기를 자동으로 분류하고, 운송 과정을 효율적으로 관리할 수 있는 시스템을 개발</span></p><p>&nbsp;</p><p>&nbsp;</p><hr><p>&nbsp;</p><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
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</div></div><p>&nbsp;</p><p><span style="font-family:&quot;맑은 고딕&quot;;">YOLOv8, ROS, PLC</span></p><p>&nbsp;</p><p>&nbsp;</p><hr><p>&nbsp;</p><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
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</div></div><h2>&nbsp;</h2><p>1. Cobot320과 PLC를 이용하여 재활용 쓰레기를 자동으로 분류하는 시스템 구축</p><p>&nbsp;</p><p>2. myAGV를 활용한 자율주행 기반의 쓰레기 운송 시스템 구현</p><p>&nbsp;</p><p>3. YOLOv8을 이용한 쓰레기 종류별 객체 인식 및 분류 기능 개발</p><p>&nbsp;</p><p>&nbsp;</p><hr><h2>&nbsp;</h2><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
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</div></div><h2>&nbsp;</h2><h2><span style="font-family:&quot;맑은 고딕&quot;;">김◯◯, 박◯◯, 신◯◯, 우◯◯, 채◯◯</span></h2><p>&nbsp;</p><p>&nbsp;</p><hr><h2>&nbsp;</h2><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
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</div></div><h2>&nbsp;</h2><h2>2023.04.05 - 2023.06.17<br><br>&nbsp;</h2><hr><p>&nbsp;</p><div class="raw-html-embed"><div style="width: 172px; height: 33px; position: relative">
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</div></div><p>&nbsp;</p><div class="raw-html-embed"><div style="position: relative; width: 100%; padding-bottom: 56.25%; height: 0; overflow: hidden;">
<iframe width="560" height="315" src="https://www.youtube.com/embed/9gbp7UXMN0M?si=AMNu6OFMN1KJ6Hl0" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen="" style="position: absolute; top: 0; left: 0; width: 100%; height: 100%; border: 0;"></iframe>
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📦 logistics automation

2023.04.05 - 2023.06.17