{"id":1949,"date":"2026-04-28T15:10:44","date_gmt":"2026-04-28T07:10:44","guid":{"rendered":"https:\/\/quantumcatai.tech\/?post_type=product&#038;p=1949"},"modified":"2026-04-28T15:11:03","modified_gmt":"2026-04-28T07:11:03","slug":"raspberry-pi-5-ros2-ai-large-model-vision-car","status":"publish","type":"product","link":"https:\/\/quantumcatai.tech\/?product=raspberry-pi-5-ros2-ai-large-model-vision-car","title":{"rendered":"Raspberry Pi 5 ROS2 AI \u5927\u6a21\u578b\u8996\u89ba\u5c0f\u8eca"},"content":{"rendered":"<style>\n    #rpi5-ai-car-wrapper {\n        font-family: \"Segoe UI\", \"PingFang TC\", \"Microsoft JhengHei\", sans-serif;\n        line-height: 1.8;\n        color: #333;\n        padding-top: 60px;\n        max-width: 1000px;\n        margin: 0 auto;\n    }\n    #rpi5-ai-car-wrapper h1 {\n        color: #0056b3;\n        border-bottom: 3px solid #0056b3;\n        padding-bottom: 12px;\n        font-size: 2em;\n        margin-bottom: 25px;\n    }\n    #rpi5-ai-car-wrapper h2 {\n        color: #1a1a1a;\n        border-left: 6px solid #0056b3;\n        padding-left: 15px;\n        margin-top: 50px;\n        font-size: 1.6em;\n    }\n    #rpi5-ai-car-wrapper h3 {\n        color: #004085;\n        margin-top: 30px;\n        font-size: 1.3em;\n        display: flex;\n        align-items: center;\n    }\n    #rpi5-ai-car-wrapper .blue-dot {\n        height: 10px;\n        width: 10px;\n        background-color: #0056b3;\n        border-radius: 50%;\n        display: inline-block;\n        margin-right: 10px;\n    }<\/p>\n<p>    .summary-box {\n        background: #f0f7ff;\n        border: 1px solid #cce5ff;\n        padding: 25px;\n        border-radius: 12px;\n        margin: 30px 0;\n    }\n    .summary-box h3 { margin-top: 0 !important; color: #0056b3; }\n    .summary-box ul { list-style: none; padding-left: 0; }\n    .summary-box li { margin-bottom: 10px; padding-left: 25px; position: relative; }\n    .summary-box li::before { content: \"\u2713\"; position: absolute; left: 0; color: #0056b3; font-weight: bold; }<\/p>\n<p>    .trust-notice-box {\n        background: #eef2f7;\n        border: 1px solid #d1d9e6;\n        padding: 20px;\n        border-radius: 10px;\n        margin: 25px 0;\n        font-size: 0.95em;\n        color: #444;\n    }<\/p>\n<p>    .spec-table-container { overflow-x: auto; margin-top: 25px; }\n    .spec-table { width: 100%; border-collapse: collapse; background: white; border: 1px solid #dee2e6; }\n    .spec-table th, .spec-table td { border: 1px solid #dee2e6; padding: 15px; text-align: left; }\n    .spec-table th { background-color: #0056b3; color: white; white-space: nowrap; }\n    .spec-table tr:nth-child(even) { background-color: #f8f9fa; }<\/p>\n<p>    .faq-section { margin-top: 40px; }\n    .faq-item { border-bottom: 1px solid #e9ecef; padding: 20px 0; }\n    .faq-question { font-weight: bold; color: #0056b3; font-size: 1.1em; margin-bottom: 8px; display: block; }\n    .faq-answer { color: #555; font-size: 0.95em; }<\/p>\n<p>    .bottom-buffer { height: 100px; }\n<\/style>\n<div id=\"rpi5-ai-car-wrapper\">\n<header>\n<h1>Raspberry Pi 5 ROS2 AI \u5927\u6a21\u578b\u8996\u89ba\u5c0f\u8eca\uff5c\u5177\u8eab\u667a\u80fd\u958b\u767c\u5be6\u8e10\u5e73\u53f0<\/h1>\n<div class=\"summary-box\">\n<h3>\ud83d\ude80 \u6838\u5fc3\u512a\u52e2\u5feb\u905e<\/h3>\n<ul>\n<li><strong>\u904b\u7b97\u6027\u80fd\u8e8d\u5347\uff1a<\/strong> \u642d\u8f09 Raspberry Pi 5\uff0c\u70ba\u8655\u7406 LLaVA \u8207 YOLOv5 \u63d0\u4f9b\u6d41\u66a2\u7684\u7b97\u529b\u57fa\u790e\u3002<\/li>\n<li><strong>\u591a\u6a21\u614b AI \u4ea4\u4e92\uff1a<\/strong> \u6574\u5408\u5927\u8a9e\u8a00\u6a21\u578b\uff08LLM\uff09\uff0c\u5be6\u73fe\u5716\u751f\u6587\u3001\u8a9e\u97f3\u63a7\u5236\u8207\u6df1\u5ea6\u5834\u666f\u7406\u89e3\u3002<\/li>\n<li><strong>ROS2 \u6a19\u6e96\u67b6\u69cb\uff1a<\/strong> \u63a1\u7528\u696d\u754c\u9818\u5148\u7684\u6a5f\u5668\u4eba\u64cd\u4f5c\u7cfb\u7d71\uff0c\u652f\u63f4\u7cbe\u6e96\u7684 PID \u63a7\u5236\u8207\u591a\u611f\u6e2c\u5668\u878d\u5408\u3002<\/li>\n<li><strong>\u5168\u5411\u79fb\u52d5\u5e95\u76e4\uff1a<\/strong> \u9ea5\u514b\u7d0d\u59c6\u8f2a\u8a2d\u8a08\u914d\u5408\u4e8c\u81ea\u7531\u5ea6\u96f2\u53f0\uff0c\u5be6\u73fe\u96f6\u6b7b\u89d2\u7684\u8996\u89ba\u8ffd\u8e64\u8207\u52d5\u614b\u4ea4\u4e92\u3002<\/li>\n<\/ul><\/div>\n<\/header>\n<section id=\"product-overview\">\n<h2>\u7522\u54c1\u6982\u8ff0 | Professional Overview<\/h2>\n<p>\n            \u96a8\u8457\u300c\u5177\u8eab\u667a\u80fd (Embodied AI)\u300d\u6280\u8853\u7684\u7206\u767c\uff0c\u6a5f\u5668\u4eba\u4e0d\u518d\u50c5\u662f\u57f7\u884c\u9810\u8a2d\u6307\u4ee4\u7684\u6a5f\u68b0\u81c2\uff0c\u800c\u662f\u80fd\u7406\u89e3\u74b0\u5883\u3001\u9032\u884c\u8a9e\u8a00\u5c0d\u8a71\u7684\u667a\u80fd\u9ad4\u3002<strong>Raspberry Pi 5 ROS2 AI \u5927\u6a21\u578b\u8996\u89ba\u5c0f\u8eca<\/strong> \u6b63\u662f\u70ba\u4e86\u61c9\u5c0d\u9019\u4e00\u6280\u8853\u8da8\u52e2\u800c\u751f\u3002\u5b83\u89e3\u6c7a\u4e86\u50b3\u7d71\u6559\u80b2\u578b\u5c0f\u8eca\u5728\u8655\u7406\u5927\u578b\u8a9e\u8a00\u6a21\u578b\uff08LLM\uff09\u6642\u7b97\u529b\u4e0d\u8db3\u7684\u75db\u9ede\uff0c\u5229\u7528\u6a39\u8393\u6d3e 5 \u5353\u8d8a\u7684 CPU \u6027\u80fd\uff0c\u6210\u529f\u90e8\u7f72\u4e86 Qwen2.5 \u8207 LLaVA \u7b49\u524d\u6cbf\u6a21\u578b\u3002\n        <\/p>\n<p>\n            \u5728\u7814\u767c\u8207\u6559\u5b78\u5834\u666f\u4e2d\uff0c\u958b\u767c\u8005\u7d93\u5e38\u9762\u81e8\u8edf\u786c\u9ad4\u6574\u5408\u56f0\u96e3\u7684\u554f\u984c\u3002\u672c\u7522\u54c1\u900f\u904e <strong>ROS2 (Robot Operating System 2)<\/strong> \u6846\u67b6\uff0c\u5c07\u8907\u96dc\u7684\u786c\u9ad4\u9a45\u52d5\u6a21\u7d44\u5316\uff0c\u8b93\u5b78\u7fd2\u8005\u80fd\u76f4\u63a5\u5728 Python 3 \u74b0\u5883\u4e0b\u9032\u884c\u958b\u767c\u3002\u7121\u8ad6\u662f\u9032\u884c MediaPipe \u7684 3D \u4eba\u81c9\u7db2\u683c\u6a19\u8a3b\uff0c\u9084\u662f\u57f7\u884c YOLOv5 \u7684\u5373\u6642\u76ee\u6a19\u6aa2\u6e2c\uff0c\u9019\u6b3e\u5c0f\u8eca\u90fd\u80fd\u63d0\u4f9b\u7a69\u5b9a\u7684\u5e40\u7387\u8868\u73fe\uff0c\u662f\u5f9e\u57fa\u790e\u7de8\u7a0b\u9081\u5411\u5c08\u696d AI \u5de5\u7a0b\u5e2b\u7684\u6700\u4f73\u6a4b\u6a11\u3002\n        <\/p>\n<div class=\"trust-notice-box\">\n            <strong>\u2696\ufe0f \u5c08\u5bb6\u8aa0\u5be6\u5206\u6790\uff1a\u95dc\u65bc\u6548\u80fd\u8207\u9078\u64c7\u7684\u5efa\u8b70<\/strong><br \/>\n            \u96d6\u7136\u5e02\u5834\u4e0a\u6709\u57fa\u65bc NVIDIA Jetson Orin \u7cfb\u5217\u7684\u66f4\u9ad8\u968e\u7522\u54c1\uff0c\u4f46\u5176\u958b\u767c\u9580\u6abb\u9ad8\u4e14\u50f9\u683c\u6602\u8cb4\u3002<strong>Raspberry Pi 5 ROS2 AI \u5927\u6a21\u578b\u8996\u89ba\u5c0f\u8eca<\/strong> \u5728\u73fe\u968e\u6bb5\u63d0\u4f9b\u4e86\u6700\u5e73\u8861\u7684\u300c\u6027\u50f9\u6bd4\u8207\u751f\u614b\u7cfb\u652f\u63f4\u300d\u3002\u76f8\u5c0d\u65bc Jetson \u7cfb\u5217\u8907\u96dc\u7684\u74b0\u5883\u914d\u7f6e\uff0c\u6a39\u8393\u6d3e 5 \u7684\u793e\u7fa4\u8cc7\u6e90\u6975\u5176\u8c50\u5bcc\u3002\u5c0d\u65bc\u521d\u5b78\u8005\u6216\u9810\u7b97\u6709\u9650\u7684\u6559\u5b78\u55ae\u4f4d\uff0c\u9019\u6b3e\u5c0f\u8eca\u80fd\u4ee5\u8f03\u4f4e\u7684\u6210\u672c\u5be6\u73fe 90% \u4ee5\u4e0a\u7684\u5177\u8eab\u667a\u80fd\u5be6\u9a57\uff0c\u4e14\u5728\u7cfb\u7d71\u7a69\u5b9a\u6027\u4e0a\u7d93\u904e\u4e86\u591a\u6b21\u8fed\u4ee3\u512a\u5316\uff0c\u662f\u76ee\u524d\u5b78\u7fd2 ROS2 \u8207\u5927\u6a21\u578b\u4ea4\u4e92\u7684\u6700\u512a\u9078\u3002\n        <\/div>\n<\/section>\n<section id=\"features\">\n<h2>\u6838\u5fc3\u529f\u80fd\u7279\u8272 | Solutions &#038; Intelligence<\/h2>\n<h3><span class=\"blue-dot\"><\/span>\u591a\u6a21\u614b AI \u8207\u5927\u6a21\u578b\u4ea4\u4e92 (LLM Integration)<\/h3>\n<p>\u672c\u8eca\u4e0d\u50c5\u80fd\u300c\u770b\u300d\uff0c\u66f4\u80fd\u300c\u7406\u89e3\u300d\u3002\u900f\u904e\u90e8\u7f72\u5927\u8a9e\u8a00\u6a21\u578b\uff0c\u5c0f\u8eca\u53ef\u5be6\u73fe<strong>\u591a\u6a21\u614b\u5716\u751f\u6587<\/strong>\u529f\u80fd\uff0c\u5373\u6642\u63cf\u8ff0\u8996\u91ce\u5167\u7684\u5834\u666f\u7d30\u7bc0\uff08\u4f8b\u5982\uff1a\u5224\u65b7\u74b0\u5883\u660e\u6697\u3001\u63cf\u8ff0\u7269\u9ad4\u7279\u5fb5\uff09\u3002\u5167\u5efa AI \u8a9e\u97f3\u8b58\u5225\u6a21\u7d44\uff0c\u652f\u63f4\u81ea\u7136\u8a9e\u8a00\u63a7\u5236\uff0c\u7528\u6236\u53ef\u4ee5\u900f\u904e\u53e3\u8a9e\u4e0b\u9054\u300c\u5411\u5de6\u8f49\u5169\u5708\u300d\u7b49\u6307\u4ee4\uff0c\u5c0f\u8eca\u5c07\u81ea\u52d5\u89e3\u6790\u8a9e\u7fa9\u4e26\u57f7\u884c\u4efb\u52d9\u3002<\/p>\n<h3><span class=\"blue-dot\"><\/span>\u5148\u9032\u8996\u89ba\u8b58\u5225\u7cfb\u7d71 (Deep Learning Vision)<\/h3>\n<p>\u96c6\u6210 <strong>YOLOv5<\/strong> \u5373\u6642\u76ee\u6a19\u6aa2\u6e2c\u6f14\u7b97\u6cd5\uff0c\u53ef\u7cbe\u6e96\u8b58\u5225\u4ea4\u901a\u8def\u6a19\u3001\u65e5\u5e38\u7269\u9ad4\u8207\u884c\u4eba\uff0c\u4e26\u8f38\u51fa\u7f6e\u4fe1\u5ea6\u3002\u914d\u5408 <strong>MediaPipe<\/strong> \u6846\u67b6\uff0c\u652f\u63f4 3D \u4eba\u81c9\u6a19\u8a3b\u3001\u624b\u52e2\u8b58\u5225\u8207\u4eba\u9ad4\u59ff\u614b\u4f30\u8a08\u3002\u9019\u8b93\u5c0f\u8eca\u5728\u81ea\u52d5\u99d5\u99db\u6a21\u64ec\u3001\u5be6\u9a57\u5ba4\u7269\u6d41\u5f15\u5c0e\u7b49\u5834\u666f\u4e2d\u5177\u6709\u6975\u9ad8\u7684\u61c9\u7528\u50f9\u503c\u3002<\/p>\n<h3><span class=\"blue-dot\"><\/span>\u5177\u8eab\u667a\u80fd\u8ffd\u8e64\u8207\u5168\u5411\u79fb\u52d5<\/h3>\n<p>\u63a1\u7528\u9ea5\u514b\u7d0d\u59c6\u8f2a\u5e95\u76e4\uff0c\u652f\u63f4\u6c34\u5e73\u6a6b\u79fb\u3001\u539f\u5730\u65cb\u8f49\u7b49\u8907\u96dc\u52d5\u4f5c\u3002\u7d50\u5408 PID \u6f14\u7b97\u6cd5\u8207\u4e8c\u81ea\u7531\u5ea6\u651d\u5f71\u6a5f\u96f2\u53f0\uff0c\u5c0f\u8eca\u80fd\u5be6\u73fe\u5373\u6642\u7684\u300c\u7269\u9ad4\u9396\u5b9a\u8ffd\u8e64\u300d\u3002\u958b\u767c\u8005\u53ef\u4ee5\u81ea\u5b9a\u7fa9\u8ffd\u8e64\u984f\u8272\u3001\u6a19\u7c64\uff08AprilTag\uff09\u6216\u7279\u5b9a\u884c\u4eba\uff0c\u5c55\u793a\u6a5f\u5668\u4eba\u5728\u52d5\u614b\u74b0\u5883\u4e0b\u7684\u81ea\u6211\u5c0e\u822a\u80fd\u529b\u3002<\/p>\n<\/section>\n<section id=\"specifications\">\n<h2>\u6280\u8853\u898f\u683c\u8868 | Specifications<\/h2>\n<div class=\"spec-table-container\">\n<table class=\"spec-table\">\n<thead>\n<tr>\n<th>\u9805\u76ee<\/th>\n<th>\u898f\u683c\u63cf\u8ff0<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u6838\u5fc3\u63a7\u5236\u5668<\/td>\n<td>Raspberry Pi 5 (\u6a39\u8393\u6d3e 5)<\/td>\n<\/tr>\n<tr>\n<td>\u64cd\u4f5c\u7cfb\u7d71<\/td>\n<td>Ubuntu 22.04 + ROS2 (Humble)<\/td>\n<\/tr>\n<tr>\n<td>\u5e95\u76e4\u985e\u578b<\/td>\n<td>\u9ea5\u514b\u7d0d\u59c6\u8f2a\u5168\u5411\u79fb\u52d5\u5e95\u76e4<\/td>\n<\/tr>\n<tr>\n<td>\u651d\u5f71\u6a5f\u96f2\u53f0<\/td>\n<td>\u4e8c\u81ea\u7531\u5ea6 (2-DOF) \u96f2\u53f0\uff0c\u8996\u91ce\u5ee3\u95ca<\/td>\n<\/tr>\n<tr>\n<td>AI \u6846\u67b6\u652f\u63f4<\/td>\n<td>LLaVA, YOLOv5, MediaPipe, OpenCV<\/td>\n<\/tr>\n<tr>\n<td>\u8a9e\u97f3\u6a21\u7d44<\/td>\n<td>\u96d9\u9ea5\u514b\u98a8\u9663\u5217\u3001\u9ad8\u4fdd\u771f\u63da\u8072\u5668\uff0c\u652f\u63f4\u5373\u6642\u8a9e\u97f3\u8f49\u6587\u672c<\/td>\n<\/tr>\n<tr>\n<td>\u7de8\u7a0b\u8a9e\u8a00<\/td>\n<td>Python 3 (\u5168\u9762\u958b\u6e90\u4ee3\u78bc)<\/td>\n<\/tr>\n<tr>\n<td>\u611f\u6e2c\u5668\u64f4\u5c55<\/td>\n<td>\u8d85\u97f3\u6ce2\u907f\u969c\u3001\u7d05\u5916\u5de1\u7dda\u3001OLED \u6578\u64da\u986f\u793a\u5c4f<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n<\/section>\n<section class=\"faq-section\">\n<h2>\u5e38\u898b\u554f\u984c\u89e3\u7b54 (FAQ)<\/h2>\n<div class=\"faq-item\">\n            <span class=\"faq-question\">1. \u9019\u6b3e Raspberry Pi 5 ROS2 AI \u5927\u6a21\u578b\u8996\u89ba\u5c0f\u8eca\u9069\u5408\u5b8c\u5168\u6c92\u6709\u57fa\u790e\u7684\u521d\u5b78\u8005\u55ce\uff1f<\/span><\/p>\n<p class=\"faq-answer\">\u975e\u5e38\u9069\u5408\u3002\u6211\u5011\u63d0\u4f9b\u4e86\u624b\u628a\u624b\u7684\u8996\u983b\u6559\u7a0b\u8207\u5b8c\u6574\u7684\u958b\u6e90\u4ee3\u78bc\u3002\u5373\u4fbf\u60a8\u6c92\u6709 ROS2 \u7d93\u9a57\uff0c\u4e5f\u53ef\u4ee5\u900f\u904e\u6211\u5011\u9810\u88dd\u597d\u7684\u7cfb\u7d71\u93e1\u50cf\u5feb\u901f\u4e0a\u624b AI \u5be6\u9a57\u3002<\/p>\n<\/p><\/div>\n<div class=\"faq-item\">\n            <span class=\"faq-question\">2. \u70ba\u4ec0\u9ebc\u5728 2024-2026 \u5e74\u958b\u767c AI \u6a5f\u5668\u4eba\u8981\u9078\u64c7\u6a39\u8393\u6d3e 5\uff1f<\/span><\/p>\n<p class=\"faq-answer\">\u6a39\u8393\u6d3e 5 \u7684 CPU \u6027\u80fd\u8f03\u524d\u4ee3\u6709\u986f\u8457\u63d0\u5347\uff0c\u80fd\u6d41\u66a2\u57f7\u884c\u8f15\u91cf\u5316\u7684\u5927\u8a9e\u8a00\u6a21\u578b\u8207\u8907\u96dc\u7684\u8996\u89ba\u6aa2\u6e2c\u6f14\u7b97\u6cd5\uff0c\u662f\u76ee\u524d\u6027\u50f9\u6bd4\u6700\u9ad8\u7684\u5177\u8eab\u667a\u80fd\u958b\u767c\u5e73\u53f0\u3002<\/p>\n<\/p><\/div>\n<div class=\"faq-item\">\n            <span class=\"faq-question\">3. \u5c0f\u8eca\u652f\u63f4\u54ea\u4e9b\u5927\u8a9e\u8a00\u6a21\u578b (LLM)\uff1f<\/span><\/p>\n<p class=\"faq-answer\">\u672c\u7522\u54c1\u652f\u63f4\u900f\u904e Ollama \u90e8\u7f72 Qwen2.5\u3001LLaVA \u7b49\u591a\u6a21\u614b\u6a21\u578b\uff0c\u5be6\u73fe\u8996\u89ba\u8207\u8a9e\u8a00\u7684\u6df1\u5ea6\u878d\u5408\u3002<\/p>\n<\/p><\/div>\n<div class=\"faq-item\">\n            <span class=\"faq-question\">4. \u8996\u89ba\u5de1\u7dda\u8207 YOLOv5 \u76ee\u6a19\u6aa2\u6e2c\u53ef\u4ee5\u540c\u6642\u904b\u884c\u55ce\uff1f<\/span><\/p>\n<p class=\"faq-answer\">\u53ef\u4ee5\u3002\u5f97\u76ca\u65bc\u6a39\u8393\u6d3e 5 \u7684\u591a\u6838\u5fc3\u6027\u80fd\u8207 ROS2 \u7684\u591a\u7bc0\u9ede\u67b6\u69cb\uff0c\u60a8\u53ef\u4ee5\u540c\u6642\u904b\u884c\u591a\u500b\u8996\u89ba\u7bc0\u9ede\uff0c\u9032\u884c\u8907\u96dc\u7684\u4efb\u52d9\u6c7a\u7b56\u3002<\/p>\n<\/p><\/div>\n<div class=\"faq-item\">\n            <span class=\"faq-question\">5. \u4ee3\u78bc\u662f\u5b8c\u5168\u958b\u6e90\u7684\u55ce\uff1f\u6211\u53ef\u4ee5\u9032\u884c\u4e8c\u6b21\u958b\u767c\u55ce\uff1f<\/span><\/p>\n<p class=\"faq-answer\">\u662f\u7684\uff0c\u6240\u6709 Python \u4ee3\u78bc\u5b8c\u5168\u958b\u6e90\u3002\u6211\u5011\u9f13\u52f5\u958b\u767c\u8005\u6839\u64da\u81ea\u5df1\u7684\u9700\u6c42\u4fee\u6539\u6a21\u578b\u6b0a\u91cd\u6216\u589e\u52a0\u65b0\u7684 ROS2 \u529f\u80fd\u5305\u3002<\/p>\n<\/p><\/div>\n<div class=\"faq-item\">\n            <span class=\"faq-question\">6. \u662f\u5426\u63d0\u4f9b\u6280\u8853\u652f\u63f4\uff1f\u5982\u679c\u9047\u5230 Bug \u600e\u9ebc\u8fa6\uff1f<\/span><\/p>\n<p class=\"faq-answer\">\u6211\u5011\u63d0\u4f9b\u5c08\u696d\u7684\u7dda\u4e0a\u6280\u8853\u652f\u63f4\u5718\u968a\uff0c\u91dd\u5c0d\u521d\u5b78\u8005\u5728\u74b0\u5883\u914d\u7f6e\u6216\u7a0b\u5f0f\u904b\u884c\u4e2d\u9047\u5230\u7684\u554f\u984c\u63d0\u4f9b\u6df1\u5ea6\u5354\u52a9\u3002<\/p>\n<\/p><\/div>\n<div class=\"faq-item\">\n            <span class=\"faq-question\">7. \u96fb\u6c60\u7e8c\u822a\u529b\u5927\u7d04\u591a\u4e45\uff1f<\/span><\/p>\n<p class=\"faq-answer\">\u5728\u6301\u7e8c\u904b\u884c AI \u8996\u89ba\u8b58\u5225\u8207\u5168\u5411\u79fb\u52d5\u7684\u60c5\u5883\u4e0b\uff0c\u96fb\u6c60\u7e8c\u822a\u7d04\u53ef\u7dad\u6301 1.5 &#8211; 2 \u5c0f\u6642\uff0c\u8996\u5177\u9ad4\u4efb\u52d9\u8ca0\u8f09\u800c\u5b9a\u3002<\/p>\n<\/p><\/div>\n<div class=\"faq-item\">\n            <span class=\"faq-question\">8. \u5c0f\u8eca\u53ef\u4ee5\u8b58\u5225\u81ea\u5b9a\u7fa9\u7684\u7269\u9ad4\u55ce\uff1f<\/span><\/p>\n<p class=\"faq-answer\">\u53ef\u4ee5\u3002\u9664\u4e86\u9810\u88dd\u7684\u6a21\u578b\u5916\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u6211\u5011\u63d0\u4f9b\u7684 YOLOv5 \u8a13\u7df4\u6559\u7a0b\uff0c\u8a13\u7df4\u5c6c\u65bc\u60a8\u81ea\u5df1\u7684\u6578\u64da\u96c6\u4e26\u90e8\u7f72\u5230\u5c0f\u8eca\u4e0a\u3002<\/p>\n<\/p><\/div>\n<div class=\"faq-item\">\n            <span class=\"faq-question\">9. \u5982\u4f55\u66f4\u65b0\u7cfb\u7d71\u6216\u7372\u53d6\u65b0\u7684\u6559\u7a0b\uff1f<\/span><\/p>\n<p class=\"faq-answer\">\u6211\u5011\u6703\u5b9a\u671f\u66f4\u65b0\u6559\u5b78\u8cc7\u6e90\u8207\u8edf\u9ad4\u5305\uff0c\u7528\u6236\u53ef\u900f\u904e\u7dda\u4e0a\u96f2\u7aef\u786c\u789f\u76f4\u63a5\u4e0b\u8f09\u6700\u65b0\u7684\u7cfb\u7d71\u93e1\u50cf\u8207\u6587\u4ef6\u3002<\/p>\n<\/p><\/div>\n<div class=\"faq-item\">\n            <span class=\"faq-question\">10. \u9ea5\u514b\u7d0d\u59c6\u8f2a\u5e95\u76e4\u5728\u6236\u5916\u74b0\u5883\u8868\u73fe\u5982\u4f55\uff1f<\/span><\/p>\n<p class=\"faq-answer\">\u9ea5\u514b\u7d0d\u59c6\u8f2a\u4e3b\u8981\u91dd\u5c0d\u5ba4\u5167\u5e73\u6ed1\u5730\u9762\u8a2d\u8a08\u4ee5\u5be6\u73fe\u5168\u5411\u79fb\u52d5\uff0c\u82e5\u9700\u5728\u5d0e\u5d87\u4e0d\u5e73\u7684\u6236\u5916\u74b0\u5883\u4f7f\u7528\uff0c\u5efa\u8b70\u9069\u5ea6\u964d\u4f4e\u79fb\u52d5\u901f\u5ea6\u4ee5\u4fdd\u8b77\u96fb\u6a5f\u3002<\/p>\n<\/p><\/div>\n<\/section>\n<div class=\"bottom-buffer\"><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u63a2\u7d22\u9019\u6b3e\u5c08\u70ba\u958b\u767c\u8005\u8a2d\u8a08\u7684 Raspberry Pi 5 ROS2 AI \u5927\u6a21\u578b\u8996\u89ba\u5c0f\u8eca\u3002\u6574\u5408 LLaVA \u591a\u6a21\u614b\u5927\u6a21\u578b\u3001YOLOv5 \u8207 MediaPipe\uff0c\u652f\u63f4\u8a9e\u97f3\u4ea4\u4e92\u8207\u5168\u5411\u79fb\u52d5\u3002\u63d0\u4f9b\u5b8c\u6574\u958b\u6e90\u4ee3\u78bc\u8207\u6559\u5b78\u8cc7\u6e90\uff0c\u662f\u9032\u968e\u5177\u8eab\u667a\u80fd\u958b\u767c\u7684\u7a69\u5b9a\u6027\u8207\u6027\u50f9\u6bd4\u4e4b\u9078\u3002<\/p>\n","protected":false},"featured_media":1950,"comment_status":"open","ping_status":"closed","template":"","meta":[],"product_brand":[],"product_cat":[195],"product_tag":[],"class_list":["post-1949","product","type-product","status-publish","has-post-thumbnail","product_cat-195","first","instock","shipping-taxable","product-type-simple"],"ct_brands":[],"_links":{"self":[{"href":"https:\/\/quantumcatai.tech\/index.php?rest_route=\/wp\/v2\/product\/1949","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/quantumcatai.tech\/index.php?rest_route=\/wp\/v2\/product"}],"about":[{"href":"https:\/\/quantumcatai.tech\/index.php?rest_route=\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/quantumcatai.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1949"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/quantumcatai.tech\/index.php?rest_route=\/wp\/v2\/media\/1950"}],"wp:attachment":[{"href":"https:\/\/quantumcatai.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1949"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/quantumcatai.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fproduct_brand&post=1949"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/quantumcatai.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fproduct_cat&post=1949"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/quantumcatai.tech\/index.php?rest_route=%2Fwp%2Fv2%2Fproduct_tag&post=1949"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}