{"id":389,"date":"2026-04-29T15:44:45","date_gmt":"2026-04-29T07:44:45","guid":{"rendered":"https:\/\/www.aitkcn.com\/?p=389"},"modified":"2026-04-29T15:46:57","modified_gmt":"2026-04-29T07:46:57","slug":"rv1106g3-rknn-%e8%be%b9%e7%bc%98-ai-%e8%a7%86%e8%a7%89%e8%a7%a3%e5%86%b3%e6%96%b9%e6%a1%88%ef%bc%9a%e6%9c%ac%e5%9c%b0%e6%99%ba%e8%83%bd%ef%bc%8c%e8%b5%8b%e8%83%bd%e4%b8%87%e7%89%a9","status":"publish","type":"post","link":"https:\/\/www.aitkcn.com\/index.php\/2026\/04\/29\/rv1106g3-rknn-%e8%be%b9%e7%bc%98-ai-%e8%a7%86%e8%a7%89%e8%a7%a3%e5%86%b3%e6%96%b9%e6%a1%88%ef%bc%9a%e6%9c%ac%e5%9c%b0%e6%99%ba%e8%83%bd%ef%bc%8c%e8%b5%8b%e8%83%bd%e4%b8%87%e7%89%a9\/","title":{"rendered":"RV1106G3 + RKNN \u8fb9\u7f18 AI \u89c6\u89c9\u89e3\u51b3\u65b9\u6848\uff1a\u672c\u5730\u667a\u80fd\uff0c\u8d4b\u80fd\u4e07\u7269"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"380\" height=\"240\" src=\"https:\/\/www.aitkcn.com\/wp-content\/uploads\/2026\/04\/image.png\" alt=\"\" class=\"wp-image-393\" srcset=\"https:\/\/www.aitkcn.com\/wp-content\/uploads\/2026\/04\/image.png 380w, https:\/\/www.aitkcn.com\/wp-content\/uploads\/2026\/04\/image-300x189.png 300w\" sizes=\"auto, (max-width: 380px) 100vw, 380px\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"416\" height=\"665\" src=\"https:\/\/www.aitkcn.com\/wp-content\/uploads\/2026\/04\/\u8bc6\u522b.png\" alt=\"\" class=\"wp-image-392\" srcset=\"https:\/\/www.aitkcn.com\/wp-content\/uploads\/2026\/04\/\u8bc6\u522b.png 416w, https:\/\/www.aitkcn.com\/wp-content\/uploads\/2026\/04\/\u8bc6\u522b-188x300.png 188w\" sizes=\"auto, (max-width: 416px) 100vw, 416px\" \/><\/figure>\n\n\n\n<p>\u4e00\u3001\u65b9\u6848\u6982\u8ff0\uff1a\u8fb9\u7f18\u89c6\u89c9\u7684 \u201c\u82af\u201d \u5f15\u64ce<\/p>\n\n\n\n<p><br>        \u57fa\u4e8e\u745e\u82af\u5faeRV1106G3\u8fb9\u7f18 AI \u89c6\u89c9\u5904\u7406\u5668\u4e0eRKNN\u6df1\u5ea6\u5b66\u4e60\u90e8\u7f72\u6846\u67b6\u7684\u4e00\u4f53\u5316\u89e3\u51b3\u65b9\u6848\uff0c\u4e13\u4e3a\u4f4e\u529f\u8017\u3001\u9ad8\u96c6\u6210\u3001\u672c\u5730\u667a\u80fd\u89c6\u89c9\u5e94\u7528\u8bbe\u8ba1\uff0c\u63d0\u4f9b\u4ece\u6a21\u578b\u8bad\u7ec3\u5230\u7ec8\u7aef\u90e8\u7f72\u7684\u5168\u94fe\u8def\u652f\u6301\uff0c\u5b9e\u73b01TOPS INT8 \u7b97\u529b\u4e0b\u7684\u5b9e\u65f6 AI \u63a8\u7406\uff0c\u8d4b\u80fd\u667a\u80fd\u5b89\u9632\u3001\u667a\u80fd\u5bb6\u5c45\u3001\u5de5\u4e1a\u89c6\u89c9\u7b49\u591a\u9886\u57df\u573a\u666f\u3002<br>\u8be5\u65b9\u6848\u4ee5\u5355\u82af\u7247\u96c6\u6210 CPU+MCU+NPU+ISP + \u5185\u5b58 + \u7f51\u7edc PHY + \u97f3\u9891 Codec\u7684\u6781\u81f4\u8bbe\u8ba1\uff0c\u5927\u5e45\u964d\u4f4e BOM \u6210\u672c\u4e0e\u5f00\u53d1\u590d\u6742\u5ea6\uff0c\u540c\u65f6\u901a\u8fc7RKNN Toolkit2\u5b9e\u73b0\u4e3b\u6d41\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u9ad8\u6548\u8f6c\u6362\u4e0e\u4f18\u5316\uff0c\u8ba9 AI \u89c6\u89c9\u80fd\u529b\u8f7b\u677e\u5d4c\u5165\u5404\u7c7b\u8fb9\u7f18\u8bbe\u5907\u3002<\/p>\n\n\n\n<p><br>\u4e8c\u3001\u6838\u5fc3\u6280\u672f\u4f18\u52bf\uff1a\u786c\u4ef6\u4e0e\u8f6f\u4ef6\u7684\u5b8c\u7f8e\u534f\u540c<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>\u786c\u4ef6\u6838\u5fc3\uff1aRV1106G3 \u8fb9\u7f18\u89c6\u89c9\u5904\u7406\u5668<br>\u8868\u683c<br>\u6838\u5fc3\u6a21\u5757 \u5173\u952e\u53c2\u6570 \u6280\u672f\u4ef7\u503c<br>NPU \u7b97\u529b \u81ea\u7814\u7b2c 4 \u4ee3 NPU\uff0c1TOPS INT8\uff08INT4 \u53ef\u8fbe 2TOPS\uff09\uff0c\u652f\u6301\u6df7\u5408\u7cbe\u5ea6\u8fd0\u7b97 \u672c\u5730\u5b9e\u65f6\u8fd0\u884c YOLOv5s\u3001\u4eba\u8138\u8bc6\u522b\u7b49\u590d\u6742\u6a21\u578b\uff0c\u65ad\u7f51\u53ef\u7528<br>\u5185\u5b58\u914d\u7f6e \u5185\u7f6e256MB DDR3L\uff0816 \u4f4d\u603b\u7ebf\uff09 \u76f8\u6bd4 G2 \u7ffb\u500d\uff0c\u627f\u8f7d\u66f4\u5927\u6a21\u578b\u4e0e\u66f4\u9ad8\u5206\u8fa8\u7387\u56fe\u50cf\uff0c\u51cf\u5c11\u5916\u90e8\u5b58\u50a8\u4f9d\u8d56<br>\u56fe\u50cf\u5904\u7406 \u7b2c\u4e09\u4ee3 ISP\uff0c\u652f\u63015M@30fps 2F HDR\/3DNR\/WDR\uff0c\u53cc MIPI CSI+LVDS \u8f93\u5165 \u9002\u914d\u591a\u6444\u50cf\u5934\u65b9\u6848\uff0c\u5b9e\u73b0\u53cc\u76ee\u89c6\u89c9\u3001\u591a\u89c6\u89d2\u76d1\u63a7\uff0c\u63d0\u5347\u56fe\u50cf\u8d28\u91cf<br>\u89c6\u9891\u7f16\u89e3\u7801 H.264\/H.265\uff0c\u6700\u9ad8 1080p@30fps\uff0c\u652f\u6301\u667a\u80fd\u7f16\u7801\uff08\u7801\u7387\u8282\u7701 50%+\uff09 \u9ad8\u6548\u538b\u7f29\u89c6\u9891\u6d41\uff0c\u964d\u4f4e\u5b58\u50a8\u4e0e\u5e26\u5bbd\u6210\u672c<br>\u96c6\u6210\u5ea6 \u5185\u7f6e\u767e\u5146\u4ee5\u592a\u7f51 PHY\u3001Audio Codec\u3001POR \u590d\u4f4d \u5355\u82af\u7247\u5b8c\u6210\u89c6\u89c9\u91c7\u96c6\u3001AI \u63a8\u7406\u3001\u7f51\u7edc\u4f20\u8f93\u3001\u97f3\u9891\u4ea4\u4e92\uff0c\u7b80\u5316 PCB \u8bbe\u8ba1<br>\u4f4e\u529f\u8017\u7279\u6027 AOV \u5b50\u7cfb\u7edf\u4f11\u7720\u529f\u8017\u4f4e\u81f380mW\uff0c\u591a\u7ea7\u7535\u6e90\u7ba1\u7406 \u652f\u6301\u7535\u6c60\u4f9b\u7535\u8bbe\u5907\u957f\u671f\u8fd0\u884c\uff0c\u9002\u5408\u5b89\u9632\u3001\u7269\u8054\u7f51\u7b49\u573a\u666f<br>\u5c01\u88c5\u5c3a\u5bf8 QFN-128\uff0812.3mm\u00d712.3mm\uff09 \u9002\u914d\u5c0f\u578b\u5316\u8bbe\u5907\uff0c\u5982\u667a\u80fd\u95e8\u9501\u3001\u53ef\u89c6\u95e8\u94c3\u7b49<\/li>\n\n\n\n<li>\u8f6f\u4ef6\u6838\u5fc3\uff1aRKNN \u6df1\u5ea6\u5b66\u4e60\u90e8\u7f72\u751f\u6001<br>\u8868\u683c<br>\u5de5\u5177\u94fe \u6838\u5fc3\u529f\u80fd \u5f00\u53d1\u4ef7\u503c<br>RKNN Toolkit2 \u6a21\u578b\u8f6c\u6362\uff08TensorFlow\/PyTorch\/ONNX\u2192RKNN\uff09\u3001\u91cf\u5316\u4f18\u5316\u3001\u63a8\u7406\u6d4b\u8bd5 \u4e00\u952e\u5b8c\u6210\u6a21\u578b\u9002\u914d\uff0cINT8 \u91cf\u5316\u540e\u6027\u80fd\u63d0\u5347 4 \u500d\uff0c\u5185\u5b58\u5360\u7528\u964d\u4f4e 75%<br>RKNN-Lite2 \u8f7b\u91cf\u7ea7\u63a8\u7406\u6846\u67b6\uff0c\u652f\u6301 C\/C++\/Python \u63a5\u53e3 \u7ec8\u7aef\u4fa7\u5feb\u901f\u96c6\u6210\uff0c\u6700\u5c0f\u5316\u8d44\u6e90\u5360\u7528\uff0c\u9002\u914d Linux\/RTOS \u53cc\u7cfb\u7edf<br>RKNN Model Zoo \u9884\u8bad\u7ec3\u6a21\u578b\u5e93\uff08YOLOv5\/YOLOv8\u3001SSD\u3001MobileNet \u7b49\uff09 \u5f00\u7bb1\u5373\u7528\uff0c\u7f29\u77ed\u5f00\u53d1\u5468\u671f\uff0c\u964d\u4f4e\u7b97\u6cd5\u95e8\u69db<br>RKNN Profiler \u6027\u80fd\u5206\u6790\u5de5\u5177\uff0c\u53ef\u89c6\u5316 NPU\/CPU\/GPU \u8d44\u6e90\u5360\u7528 \u7cbe\u51c6\u4f18\u5316\u63a8\u7406\u6027\u80fd\uff0c\u63d0\u5347\u6a21\u578b\u8fd0\u884c\u6548\u7387<br>\u4e09\u3001\u65b9\u6848\u67b6\u6784\uff1a\u4ece\u89c6\u89c9\u91c7\u96c6\u5230\u667a\u80fd\u51b3\u7b56\u7684\u5168\u94fe\u8def<br>plaintext<br>\u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510 \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510 \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510<br>\u2502 \u89c6\u89c9\u8f93\u5165\u5c42 \u2502 \u2502 AI\u5904\u7406\u5c42 \u2502 \u2502 \u8f93\u51fa\u63a7\u5236\u5c42 \u2502<br>\u2502 (\u53ccMIPI CSI) \u2502\u2500\u2500\u2500\u2500\u2500\u25b6\u2502 (RV1106G3) \u2502\u2500\u2500\u2500\u2500\u2500\u25b6\u2502 (\u7f51\u7edc\/\u4e32\u53e3\/IO)\u2502<br>\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<br>\u2502 \u2502 \u2502<br>\u25bc \u25bc \u25bc<br>\u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510 \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510 \u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510<br>\u2502 \u56fe\u50cf\u9884\u5904\u7406 \u2502 \u2502 RKNN\u63a8\u7406 \u2502 \u2502 \u667a\u80fd\u5e94\u7528\u5c42 \u2502<br>\u2502 (ISP\/HDR\/3DNR)\u2502 \u2502 (1TOPS\u7b97\u529b) \u2502 \u2502 (\u4eba\u5f62\u68c0\u6d4b\/\u4eba\u8138\u8bc6\u522b\/\u7f3a\u9677\u68c0\u6d4b)\u2502<br>\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518 \u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518<br>\u6838\u5fc3\u6d41\u7a0b\uff1a<br>\u89c6\u89c9\u91c7\u96c6\uff1a\u53cc MIPI CSI \u63a5\u53e3\u63a5\u5165\u6444\u50cf\u5934\uff0c\u652f\u6301\u53cc\u76ee\u89c6\u89c9 \/ \u591a\u89c6\u89d2\u76d1\u63a7<br>\u56fe\u50cf\u589e\u5f3a\uff1a\u7b2c\u4e09\u4ee3 ISP \u8fdb\u884c HDR\u30013A\u30013DNR \u7b49\u5904\u7406\uff0c\u63d0\u5347\u56fe\u50cf\u8d28\u91cf<br>\u6a21\u578b\u63a8\u7406\uff1aRKNN-Lite2 \u52a0\u8f7d\u91cf\u5316\u540e\u7684\u6a21\u578b\uff0c\u5728 NPU \u4e0a\u5b9e\u65f6\u63a8\u7406\uff0c\u8f93\u51fa\u68c0\u6d4b\u7ed3\u679c<br>\u667a\u80fd\u51b3\u7b56\uff1a\u672c\u5730\u5206\u6790\u7ed3\u679c\uff0c\u89e6\u53d1\u62a5\u8b66\u3001\u63a7\u5236\u5916\u8bbe\u6216\u4e0a\u4f20\u5173\u952e\u4fe1\u606f<br>\u6570\u636e\u8f93\u51fa\uff1a\u901a\u8fc7\u5185\u7f6e\u767e\u5146\u4ee5\u592a\u7f51\u6216\u4e32\u53e3\uff0c\u5b9e\u73b0\u6570\u636e\u4f20\u8f93\u4e0e\u8fdc\u7a0b\u63a7\u5236<br>\u56db\u3001\u5178\u578b\u5e94\u7528\u573a\u666f\uff1a\u8d4b\u80fd\u5343\u884c\u767e\u4e1a\u7684\u667a\u80fd\u89c6\u89c9<\/li>\n\n\n\n<li>\u667a\u80fd\u5b89\u9632\uff1a\u4f4e\u529f\u8017 AI \u6444\u50cf\u5934\u89e3\u51b3\u65b9\u6848<br>\u6838\u5fc3\u9700\u6c42\uff1a\u7535\u6c60\u4f9b\u7535\u3001\u957f\u7eed\u822a\u3001\u4eba\u5f62\u68c0\u6d4b\u3001\u667a\u80fd\u62a5\u8b66\u3001\u4f4e\u8bef\u62a5\u7387\u65b9\u6848\u4ef7\u503c\uff1a<br>AOV \u5b50\u7cfb\u7edf\u4f11\u7720\u529f\u801780mW\uff0c\u652f\u6301\u7535\u6c60\u4f9b\u7535\u8bbe\u5907\u957f\u671f\u8fd0\u884c\uff083-6 \u4e2a\u6708\uff09<br>\u672c\u5730\u4eba\u5f62\u68c0\u6d4b + \u4eba\u8138\u8bc6\u522b\uff0c\u8fc7\u6ee4 90% \u4ee5\u4e0a\u65e0\u6548\u62a5\u8b66\uff0c\u964d\u4f4e\u4e91\u7aef\u6d41\u91cf\u6210\u672c<br>\u53cc MIPI CSI \u652f\u6301\u53cc\u76ee\u6444\u50cf\u5934\uff0c\u5b9e\u73b0 3D \u666f\u6df1\u68c0\u6d4b\uff0c\u63d0\u5347\u5b89\u9632\u7cbe\u5ea6<br>\u667a\u80fd\u7f16\u7801\u6280\u672f\uff0c\u89c6\u9891\u5b58\u50a8\u5360\u7528\u964d\u4f4e 50%\uff0c\u652f\u6301\u66f4\u957f\u65f6\u95f4\u672c\u5730\u5f55\u50cf<br>\u5178\u578b\u4ea7\u54c1\uff1a\u7535\u6c60 IPC\u3001\u667a\u80fd\u95e8\u94c3\u3001\u65e0\u7ebf\u76d1\u63a7\u6444\u50cf\u5934\u3001\u5468\u754c\u9632\u8303\u8bbe\u5907<\/li>\n\n\n\n<li>\u667a\u80fd\u95e8\u9501\uff1a3D \u4eba\u8138\u8bc6\u522b\u89e3\u51b3\u65b9\u6848<br>\u6838\u5fc3\u9700\u6c42\uff1a\u9ad8\u7cbe\u5ea6\u8bc6\u522b\u3001\u9632\u7167\u7247\u653b\u51fb\u3001\u4f4e\u529f\u8017\u5f85\u673a\u3001\u5c0f\u4f53\u79ef\u8bbe\u8ba1\u65b9\u6848\u4ef7\u503c\uff1a<br>1TOPS \u7b97\u529b\u652f\u63013D \u7ed3\u6784\u5149\u4eba\u8138\u8bc6\u522b\u4e0e\u53cc\u76ee\u878d\u5408\uff0c\u8bc6\u522b\u51c6\u786e\u7387 &gt; 99.9%<br>\u5185\u7f6e RISC-V MCU\uff0c\u652f\u6301\u6307\u7eb9 + \u4eba\u8138\u53cc\u6a21\u8ba4\u8bc1\uff0c\u63d0\u5347\u5b89\u5168\u6027<br>\u4f11\u7720\u529f\u8017 &lt; 100mW\uff0c\u5f85\u673a\u65f6\u957f\u53ef\u8fbe 1 \u5e74\uff0c\u65e0\u9700\u9891\u7e41\u66f4\u6362\u7535\u6c60<br>QFN-128 \u5c0f\u5c01\u88c5\uff0c\u9002\u914d\u95e8\u9501\u72ed\u5c0f\u7a7a\u95f4\uff0c\u7b80\u5316\u4ea7\u54c1\u8bbe\u8ba1<br>\u5178\u578b\u4ea7\u54c1\uff1a3D \u4eba\u8138\u667a\u80fd\u95e8\u9501\u3001\u516c\u5bd3\u95e8\u7981\u3001\u529e\u516c\u5ba4\u8003\u52e4\u673a<\/li>\n\n\n\n<li>\u5de5\u4e1a\u89c6\u89c9\uff1a\u8fb9\u7f18\u7f3a\u9677\u68c0\u6d4b\u89e3\u51b3\u65b9\u6848<br>\u6838\u5fc3\u9700\u6c42\uff1a\u5b9e\u65f6\u68c0\u6d4b\u3001\u9ad8\u51c6\u786e\u7387\u3001\u4f4e\u5ef6\u8fdf\u3001\u9002\u5e94\u5de5\u4e1a\u73af\u5883\u65b9\u6848\u4ef7\u503c\uff1a<br>1TOPS \u7b97\u529b\u652f\u6301YOLOv5m\u7b49\u6a21\u578b\uff0c\u5b9e\u73b0\u6beb\u79d2\u7ea7\u7f3a\u9677\u68c0\u6d4b\uff08&lt;30ms\uff09<br>\u53cc MIPI CSI+LVDS 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