{"id":13460,"date":"2024-11-17T09:36:33","date_gmt":"2024-11-17T09:36:33","guid":{"rendered":"https:\/\/dgzx.hk?p=13460"},"modified":"2024-11-17T09:39:46","modified_gmt":"2024-11-17T09:39:46","slug":"detailed-parameter-indicators-of-cmos-image-sensor-and-lens-of-camera-module","status":"publish","type":"post","link":"https:\/\/dgzx.hk\/zh\/\u651d\u5f71\u6a21\u7d44cmos\u5f71\u50cf\u611f\u6e2c\u5668\u8207\u93e1\u982d\u8a73\u7d30\u53c3\u6578\u6307\u6a19\/","title":{"rendered":"\u3010\u5be6\u7528\u5206\u4eab\u3011\u672c\u6587\u5c07\u5354\u52a9\u60a8\u4e86\u89e3\u651d\u5f71\u6a5f\u6a21\u7d44CMOS\u5f71\u50cf\u611f\u6e2c\u5668\uff08Sensor\uff09\u8207\u93e1\u982d"},"content":{"rendered":"

1.CMOS\u5f71\u50cf\u611f\u6e2c\u5668<\/a> (\u611f\u61c9\u5668)<\/h2>\n

1.1 \u611f\u6e2c\u5668\u5c3a\u5bf8<\/h3>\n

\u611f\u6e2c\u5668\u5c3a\u5bf8\u662f\u8861\u91cf\u5176\u611f\u5149\u9762\u7a4d\u5927\u5c0f\u7684\u95dc\u9375\u6307\u6a19\uff0c\u901a\u5e38\u4ee5\u5c0d\u89d2\u7dda\u9577\u5ea6\u4ee5\u82f1\u540b\u70ba\u55ae\u4f4d\u8868\u793a\u3002\u9577\u5bec\u6bd4\u4e00\u822c\u70ba4:3\uff0c\u4f46\u7531\u65bc\u6b77\u53f2\u539f\u56e0\uff0c\u611f\u6e2c\u5668\u4e2d\u768416mm\u88ab\u5b9a\u7fa9\u70ba1\u82f1\u540b\u3002\u611f\u5149\u5143\u4ef6\u5c3a\u5bf8\u8d8a\u5927\uff0c\u6355\u6349\u5149\u7dda\u7684\u80fd\u529b\u8d8a\u5f37\uff0c\u5f9e\u800c\u7522\u751f\u66f4\u9ad8\u54c1\u8cea\u7684\u5f71\u50cf\u3002<\/p>\n

\u5e38\u898b\u7684\u611f\u5149\u5143\u4ef6\u5c3a\u5bf8\u5305\u62ec4\/3\u540b\u30011\u540b\u30012\/3\u540b\u30011\/1.8\u540b\u30011\/2\u540b\u30011\/2.5\u540b\u30011\/3\u540b\u548c1\/4\u540b\u3002\u96a8\u8457\u5c3a\u5bf8\u7684\u6e1b\u5c0f\uff0c\u5176\u5be6\u969b\u5bec\u5ea6\u548c\u9ad8\u5ea6\u4e5f\u6703\u76f8\u61c9\u6e1b\u5c0f\uff0c\u5f71\u97ff\u5176\u6355\u6349\u5149\u7dda\u548c\u751f\u6210\u5f71\u50cf\u7684\u80fd\u529b\u3002<\/p>\n

\u5c3a\u5bf8\uff08\u82f1\u540b\uff09<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n
\u5be6\u969b\u5bec\u5ea6mm<\/th>\n\u5be6\u969b\u9ad8\u5ea6mm<\/th>\n\u5c0d\u89d2\u7dda\u9577\u5ea6<\/th>\n<\/th>\n<\/tr>\n<\/thead>\n
4\/3"<\/td>\n18<\/td>\n13.5<\/td>\n22.5<\/td>\n<\/tr>\n
1"<\/td>\n12.8<\/td>\n9.6<\/td>\n16<\/td>\n<\/tr>\n
2\/3"<\/td>\n8.8<\/td>\n6.6<\/td>\n11<\/td>\n<\/tr>\n
1\/1.8"<\/td>\n7.11<\/td>\n5.33<\/td>\n8.89<\/td>\n<\/tr>\n
1\/2"<\/td>\n6.4<\/td>\n4.8<\/td>\n8<\/td>\n<\/tr>\n
1\/2.5"<\/td>\n5.75<\/td>\n4.32<\/td>\n7.19<\/td>\n<\/tr>\n
1\/3"<\/td>\n4.8<\/td>\n3.6<\/td>\n6<\/td>\n<\/tr>\n
1\/4"<\/td>\n3.2<\/td>\n2.4<\/td>\n4<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

1.2 CMOS\u5f71\u50cf\u611f\u6e2c\u5668\u63a5\u53e3<\/h2>\n

CMOS\u5f71\u50cf\u611f\u6e2c\u5668\u7684\u4ecb\u9762\u985e\u578b\u4e3b\u8981\u6709MIPI\u3001DVP\u548cLVDS\u3002 MIPI\u63a5\u53e3\u662f\u4e00\u7a2e\u9ad8\u901f\u4e32\u5217\u63a5\u53e3\uff0c\u7528\u65bc\u50b3\u8f38\u5f71\u50cf\u8cc7\u6599\u548c\u63a7\u5236\u8a0a\u865f\uff0c\u5177\u6709\u529f\u8017\u4f4e\u3001\u983b\u5bec\u9ad8\u3001\u6297\u5e72\u64fe\u80fd\u529b\u5f37\u7b49\u512a\u9ede\u3002 DVP\u4ecb\u9762\u662f\u4e00\u7a2e\u5e73\u884c\u63a5\u53e3\uff0c\u900f\u904e\u591a\u689d\u8cc7\u6599\u7dda\u540c\u6642\u50b3\u8f38\u5f71\u50cf\u8cc7\u6599\u3002\u901f\u5ea6\u76f8\u5c0d\u8f03\u6162\uff0c\u4f46\u6210\u672c\u8f03\u4f4e\u3002 LVDS\u4ecb\u9762\u662f\u4e00\u7a2e\u5dee\u5206\u4e32\u884c\u63a5\u53e3\uff0c\u7528\u65bc\u50b3\u8f38\u9ad8\u901f\u5f71\u50cf\u6578\u64da\uff0c\u9069\u5408\u9577\u8ddd\u96e2\u50b3\u8f38\u548c\u9ad8\u901f\u61c9\u7528\u3002<\/p>\n

1.3\u50cf\u7d20<\/h3>\n

\u50cf\u7d20\u662f\u5f71\u50cf\u611f\u6e2c\u5668\u7684\u57fa\u672c\u55ae\u4f4d\uff0c\u6c7a\u5b9a\u4e86\u5f71\u50cf\u7684\u89e3\u6790\u5ea6\u548c\u6e05\u6670\u5ea6\u3002\u4e00\u822c\u4f86\u8aaa\uff0c\u50cf\u7d20\u8d8a\u9ad8\uff0c\u5f71\u50cf\u89e3\u6790\u5ea6\u8d8a\u9ad8\uff0c\u8868\u9054\u7d30\u7bc0\u7684\u80fd\u529b\u8d8a\u5f37\u3002\u4f46\u50cf\u7d20\u592a\u9ad8\u4e5f\u53ef\u80fd\u5c0e\u81f4\u5f71\u50cf\u96dc\u8a0a\u589e\u52a0\u3001\u5f71\u50cf\u8655\u7406\u80fd\u529b\u4e0b\u964d\u3002<\/p>\n

2.\u93e1\u982d<\/h2>\n

2.1<\/span>\u5149\u5b78\u93e1\u982d\u53c3\u6578\u8a73\u89e3<\/h3>\n

EFL\uff08\u6709\u6548\u7126\u8ddd\uff09\u6709\u6548\u7126\u8ddd<\/strong><\/p>\n

\u5f9e\u93e1\u982d\u4e2d\u5fc3\u5230\u7126\u9ede\u7684\u8ddd\u96e2\u3002\u50cf\u7126\u8ddd\u662f\u6307\u50cf\u4e3b\u9762\uff08\u5f8c\u4e3b\u9762\uff09\u5230\u5f71\u50cf\u7126\u9ede\uff08\u5f8c\u7126\u9ede\uff09\u7684\u8ddd\u96e2\uff1b\u7269\u7126\u8ddd\u662f\u6307\u5f9e\u7269\u4e3b\u9762\uff08\u524d\u4e3b\u9762\uff09\u5230\u7269\u7126\u9ede\uff08\u524d\u7126\u9ede\uff09\u7684\u8ddd\u96e2\u3002<\/p>\n

\u25cf\u6ce8\u610f\u4e8b\u9805\uff1a\u7126\u8ddd\u904e\u77ed\uff0c\u8996\u5834\u89d2\u904e\u5927\uff0c\u7578\u8b8a\u548c\u4e3b\u5149\u89d2\u5ea6\u96e3\u4ee5\u63a7\u5236\uff0c\u76f8\u5c0d\u7167\u5ea6\u4f4e\uff0c\u93e1\u982d\u5f4e\u66f2\u56b4\u91cd\uff0c\u50cf\u5dee\u6821\u6b63\u56f0\u96e3\u3002\u5982\u679c\u7126\u8ddd\u592a\u9577\uff0c\u5247\u93e1\u982d\u592a\u9577\uff0c\u4e0d\u5229\u65bc\u7cfb\u7d71\u5c0f\u578b\u5316\uff0c\u4e14\u8996\u5834\u592a\u5c0f\uff0c\u7121\u6cd5\u6eff\u8db3\u4f7f\u7528\u8005\u9700\u6c42\u3002<\/p>\n

TTL\uff08Total Track Length\uff09\u93e1\u982d\u7e3d\u9577\u5ea6<\/strong><\/p>\n

\u5149\u5b78\u7e3d\u9577\u662f\u6307\u93e1\u982d\u4e2d\u93e1\u7247\u7b2c\u4e00\u8868\u9762\u5230\u50cf\u9762\u7684\u8ddd\u96e2\u3002\u6a5f\u69cb\u7e3d\u9577\u5ea6\u662f\u6307\u93e1\u7b52\u7aef\u9762\u5230\u50cf\u9762\u7684\u8ddd\u96e2\u3002\u5728\u93e1\u982d\u7522\u54c1\u4e2d\uff0c\u4e00\u822c\u6307\u7684\u662fTTL\u6a5f\u69cb\u3002<\/p>\n

BFL\uff08Back Focal Length\uff09\u5149\u5b78\u5f8c\u7126\u8ddd<\/strong><\/p>\n

\u5149\u5b78\u7cfb\u7d71\u4e2d\u900f\u93e1\u6700\u5f8c\u4e00\u500b\u8868\u9762\u5230\u50cf\u9762\u7684\u8ddd\u96e2\u3002<\/p>\n

FFL\uff08Front Focal Length\uff09\u5149\u5b78\u524d\u7126\u8ddd<\/strong><\/p>\n

\u5149\u5b78\u7cfb\u7d71\u4e2d\u900f\u93e1\u7b2c\u4e00\u8868\u9762\u5230\u7269\u9762\u7684\u8ddd\u96e2\u3002<\/p>\n

\u25cf\u8a3b\uff1a\u61c9\u8207\u6a5f\u69cb\u5f8c\u7126\u8ddd\uff08FBL\uff0c\u6709\u6642\u8207FFL\u6df7\u7528\uff0c\u4f46\u9019\u88e1\u7279\u6307\u6a5f\u69cb\u5f8c\u7126\u8ddd\uff09\u6216\u6cd5\u862d\u7126\u8ddd\u5340\u5225\u3002<\/p>\n

FBL\/FFL\uff08\u6cd5\u862d\u7126\u8ddd\uff09\u6a5f\u69cb\u5f8c\u7126\u8ddd\uff08\u6cd5\u862d\u7126\u8ddd\uff09<\/strong><\/p>\n

\u93e1\u982d\u7d44\u6700\u5f8c\u4e00\u500b\u6a5f\u69cb\u8868\u9762\u5230\u50cf\u5e73\u9762\u7684\u8ddd\u96e2\u3002<\/p>\n

FOV\uff08\u8996\u91ce\uff09\u8996\u91ce<\/strong><\/p>\n

\u93e1\u982d\u53ef\u4ee5\u62cd\u651d\u7684\u6700\u5927\u8996\u91ce\u3002\u8996\u5834\u53ef\u5206\u70ba\u5c0d\u89d2\u8996\u5834\uff08FOV-D\uff09\u3001\u6c34\u5e73\u8996\u5834\uff08FOV-H\uff09\u548c\u5782\u76f4\u8996\u5834\uff08FOV-V\uff09\u3002\u5c0d\u89d2\u8996\u5834\u6700\u5927\uff0c\u6c34\u5e73\u8996\u5834\u6b21\u4e4b\uff0c\u5782\u76f4\u8996\u5834\u6700\u5c0f\u3002<\/p>\n

\u25cf\u8a08\u7b97\u516c\u5f0f\uff1aFOV-H=2tan(H\/2D)\u3001FOV-V=2tan(V\/2D)\u3001FOV-D=2tan[sqrt(H\u00b2+V\u00b2)\/2D]\uff0c\u5176\u4e2dH\u70ba\u6c34\u5e73\u5c3a\u5bf8\uff0cV\u70ba\u5782\u76f4\u5c3a\u5bf8\uff0cD \u70ba\u93e1\u982d\u4e2d\u5fc3\u8207\u7269\u9ad4\u7684\u8ddd\u96e2\u3002<\/p>\n

F\/NO\u3002 \uff08F \u503c\uff09\u5149\u5708\uff08\u76f8\u5c0d\u5149\u5708\uff09<\/strong><\/p>\n

\u6709\u6548\u7126\u8ddd\u8207\u5165\u77b3\u76f4\u5f91\u7684\u6bd4\u503c\u3002<\/p>\n

\u25cf\u529f\u80fd\uff1a\u6c7a\u5b9a\u93e1\u982d\u7684\u4eae\u5ea6\u3002<\/p>\n

\u25cf\u5099\u8a3b\uff1a\u5728\u78ba\u4fdd\u76f8\u540c\u5149\u5708\u7684\u524d\u63d0\u4e0b\uff0c\u7126\u8ddd\u8d8a\u77ed\uff0c\u76f8\u5c0d\u5149\u5708\u61c9\u8d8a\u5c0f\u3002\u4e00\u822c\u60c5\u6cc1\u4e0b\uff0cF\/#=2.8\uff0c\u4f46\u5c0d\u65bc\u55ae\u6676\u7247\u8a2d\u8a08\uff0cF\/#=3.2\u3002 F\/# \u8d8a\u5c0f\uff0c\u5149\u5708\u8d8a\u5927\u3002<\/p>\n

RI\uff08\u76f8\u5c0d\u5c0d\u7167\u5ea6\uff09\u76f8\u5c0d\u5c0d\u7167\u5ea6<\/strong><\/p>\n

\u4e2d\u5fc3\u7167\u5ea6\u8207\u9031\u908a\u7167\u5ea6\u4e4b\u6bd4\u3002<\/p>\n

\u25cf\u6ce8\u610f\u4e8b\u9805\uff1a\u76f8\u5c0d\u7167\u5ea6\u904e\u4f4e\uff0c\u8868\u73fe\u70ba\u5f71\u50cf\u4e2d\u5fc3\u8f03\u4eae\uff0c\u5468\u570d\u8f03\u6697\uff0c\u5373\u6f38\u6688\u73fe\u8c61\u3002\u76f8\u5c0d\u5c0d\u7167\u5ea6\u592a\u4f4e\u4e5f\u6703\u5c0e\u81f4\u984f\u8272\u5931\u771f\u3002 RI \u8207 COS\u2074\uff08\u534a FOV\uff09\u6210\u6b63\u6bd4\u3002\u7576RI<50%\u6642\uff0c\u4eba\u773c\u53ef\u4ee5\u8fa8\u5225\u5dee\u7570\u3002\u56b4\u91cd\u6642\u6703\u51fa\u73fe\u300c\u7f3a\u89d2\u300d\u73fe\u8c61\uff0c\u756b\u9762\u56db\u500b\u89d2\u5168\u9ed1\u3002\u56e0\u6b64\uff0cRI\u7684\u57fa\u672c\u8981\u6c42\u662fRI>50%\u3002<\/p>\n

CRA\uff08\u4e3b\u5149\u7dda\u89d2\uff09 \u4e3b\u5149\u7dda\u89d2<\/strong><\/p>\n

\u4e3b\u5149\u7dda\u89d2\u662f\u4e3b\u5149\u7dda\u8207\u5e73\u884c\u5149\u7dda\u4e4b\u9593\u7684\u89d2\u5ea6\u3002\u4e3b\u5149\u7dda\u662f\u5f9e\u7269\u9ad4\u908a\u7de3\u767c\u51fa\u7684\u5149\u7dda\uff0c\u7a7f\u904e\u5b54\u5f91\u5149\u95cc\u7684\u4e2d\u5fc3\uff0c\u6700\u5f8c\u5230\u9054\u50cf\u7684\u908a\u7de3\u3002<\/p>\n

\u25cf \u6ce8\u610f\uff1a \u4e3b\u5149\u7dda\u767c\u5c04\u89d2\u5ea6\u4e0d\u9069\u5408\u6703\u5c0e\u81f4\u56b4\u91cd\u6697\u89d2\u3001\u5c0d\u6bd4\u4e0b\u964d\u3001\u504f\u8272\u7b49\u73fe\u8c61\u3002<\/p>\n

MTF\uff08\u8abf\u88fd\u50b3\u905e\u51fd\u6578\uff09 <\/strong><\/p>\n

\u5149\u8abf\u8b8a\u50b3\u905e\u51fd\u6578 \u8abf\u8b8a\u662f\u6700\u4eae\u5149\u6e1b\u53bb\u6700\u6697\u5149\u8207\u6700\u4eae\u5149\u52a0\u4e0a\u6700\u6697\u5149\u7684\u6bd4\u7387\u3002\u7d50\u679c M \u662f\u5149\u7684\u5c0d\u6bd4\u3002<\/p>\n

\u25cf \u8a3b\uff1aSensor MTF \u6240\u9700\u8a08\u7b97\u516c\u5f0f\u70baSensor \u5168\u983b\u89e3\u6790\u5ea6= 1000\/2.8\/2 = 179lp\/mm\uff082.8um \u50cf\u7d20\u5c3a\u5bf8\uff09\u62161\/\uff082\u00d7\u50cf\u7d20\u5c3a\u5bf8\uff09\u3002\u89e3\u6790\u5ea6\u662f\u6bcf1\u6beb\u7c73\u53ef\u5206\u8fa8\u7dda\u5c0d\u7684\u6578\u91cf\uff0c\u55ae\u4f4d\u70balp\/mm\u3002<\/p>\n

\u96fb\u8996\u7dda \u6383\u63cf\u7dda<\/strong><\/p>\n

\u87a2\u5e55\u6c34\u5e73\u5f71\u50cf\u4e2d\u53ef\u5206\u8fa8\u7684\u7dda\u6578\u53ef\u4ee5\u900f\u904e\u89e3\u6790\u5ea6\u4f86\u63db\u7b97\u3002 TV\u7dda=lp\/mm\u00d72\u00d7\u611f\u5149\u5143\u4ef6\u5bec\u5ea6\u3002<\/p>\n

 \u8000\u6591\/\u5e7d\u9748<\/strong><\/p>\n

\u6307\u5149\u5b78\u7cfb\u7d71\u4e2d\u5149\u5728\u50cf\u9762\u4e0a\u96a8\u6a5f\u6563\u5c04\u800c\u5f62\u6210\u7684\u76f8\u53cd\u7684\u5fae\u578b\u6216\u9727\u72c0\u5f71\u50cf\uff0c\u5373\u5149\u5b78\u7cfb\u7d71\u4e2d\u7684\u975e\u6210\u50cf\u5149\u675f\u3002<\/p>\n

\u9019\u4e9b\u53c3\u6578\u5171\u540c\u6c7a\u5b9a\u4e86\u5149\u5b78\u93e1\u982d\u7684\u6027\u80fd\u548c\u61c9\u7528\u7bc4\u570d\u3002\u5728\u9078\u64c7\u548c\u4f7f\u7528\u5149\u5b78\u93e1\u982d\u6642\uff0c\u9700\u8981\u6839\u64da\u7279\u5b9a\u7684\u61c9\u7528\u5834\u666f\u548c\u8981\u6c42\u7d9c\u5408\u8003\u616e\u9019\u4e9b\u53c3\u6578\u3002<\/p>\n

\"\u5fae\u4fe1\u5716\u7247_20241117170116.png\"\/<\/p>\n

\u9019\u662f\u5b9a\u7126\u93e1\u982d\u7684\u53c3\u6578\uff1a<\/strong><\/p>\n

16mm\uff1a\u7126\u8ddd16mm<\/p>\n

IR\uff1a\u7d05\u5916\u7dda\u93e1\u982d<\/p>\n

1\/2''\uff1a\u76ee\u6a19\u5c3a\u5bf81\/2''<\/p>\n

5MP\uff1a\u93e1\u982d\u5206\u8fa8\u7387\uff0c500w\u50cf\u7d20<\/p>\n

F4.0\uff1a\u4e5f\u5beb\u6210F\/4.0\uff0c\u5149\u5708\u4fc2\u6578\uff0c4.0\u5149\u5708\uff0c\u7126\u8ddd\/\u5149\u5708\uff1b\u5728\u5176\u4ed6\u689d\u4ef6\u4e0d\u8b8a\u7684\u60c5\u6cc1\u4e0b\uff0c\u5b54\u5f91\u4fc2\u6578\u8d8a\u5c0f\uff0c\u5149\u901a\u91cf\u8d8a\u5927\uff0c\u5f71\u50cf\u8d8a\u4eae\u3002<\/p>\n

\u76ee\u6a19\u9762\u5c3a\u5bf8\uff1a\u8207\u611f\u6e2c\u5668\u5c3a\u5bf8\u76f8\u5c0d\u61c9\uff0c\u4e14\u4e0d\u80fd\u5c0f\u65bc\u611f\u6e2c\u5668\u5c3a\u5bf8\u3002\u5982\u679c\u5c0f\u65bc\u611f\u6e2c\u5668\u5c3a\u5bf8\uff0c\u5c31\u6703\u51fa\u73fe\u6697\u89d2\u3002<\/p>\n

\u7126\u8ddd\uff1a\u5b9a\u7126\u93e1\u982d\u7684\u7126\u8ddd\u662f\u6046\u5b9a\u7684\uff1b\u51f8\u900f\u93e1\u8d8a\u51f8\uff0c\u7126\u8ddd\u8d8a\u5c0f\uff1b\u51f8\u900f\u93e1\u8d8a\u5e73\uff0c\u7126\u8ddd\u8d8a\u5927\u3002\u8b8a\u7126\u93e1\u982d\u900f\u904e\u6539\u8b8a\u93e1\u982d\u5167\u90e8\u7684\u76f8\u5c0d\u4f4d\u7f6e\u4f86\u6539\u8b8a\u93e1\u982d\u7684\u7126\u8ddd\u3002\u93e1\u982d\u7684\u7126\u8ddd\u5b9a\u7fa9\u70ba\u7121\u9650\u9060\u5c0d\u7126\u6642\u93e1\u982d\u7684\u5149\u5b78\u4e2d\u5fc3\u8207\u76f8\u6a5f\u7684\u5f71\u50cf\u611f\u6e2c\u5668\uff08\u6216\u5e95\u7247\u5e73\u9762\uff09\u4e4b\u9593\u7684\u8ddd\u96e2\u3002\u5728\u67d0\u4e9b\u60c5\u6cc1\u4e0b\uff0c\u50cf\u8ddd\u76f8\u7576\u65bc\u7126\u8ddd\u3002<\/p>\n

\u5149\u5708\u503c\uff1aF1.4\u3001F2.0\u3001F2.8\u3001F4.0\u3001F5.6\u3001F8.0\u2026\uff0c\u4e0b\u4e00\u5f35\u662f\u4e0a\u4e00\u5f35\u76841.4\u500d\uff082\u7684\u5e73\u65b9\u6839\uff09\uff0c\u5149\u901a\u91cf\u70ba\u524d\u4e00\u500b\u7684\u4e00\u534a\u3002<\/p>\n

2.2 \u93e1\u982d\u7126\u8ddd\u8207\u5149\u5708\u5c0d\u666f\u6df1\u7684\u5f71\u97ff<\/h3>\n

\u7576\u5149\u5708\u4e0d\u8b8a\u6642\uff0c\u93e1\u982d\u7684\u7126\u8ddd\u8207\u666f\u6df1\u6210\u53cd\u6bd4\uff1a<\/p>\n

\u7126\u8ddd\u8d8a\u5927\uff0c\u666f\u6df1\u8d8a\u6dfa<\/p>\n

\u7126\u8ddd\u8d8a\u5c0f\uff0c\u666f\u6df1\u8d8a\u5927<\/p>\n

\u7576\u7126\u8ddd\u4e0d\u8b8a\u6642\uff0c\u5149\u5708\u5927\u5c0f\u8207\u666f\u6df1\u6210\u53cd\u6bd4\uff1a<\/p>\n

\u5149\u5708\u8d8a\u5927\uff0c\u666f\u6df1\u8d8a\u5927<\/p>\n

\u5149\u5708\u8d8a\u5c0f\uff0c\u666f\u6df1\u8d8a\u5927<\/p>\n

2.3 \u93e1\u982d\u63a5\u53e3<\/h3>\n

\u87ba\u7d0b\u63a5\u53e3<\/p>\n

\u5206\u70baC-mount\u548cCS-mount\uff0c\u5dee\u7570\u5728\u65bc\u6cd5\u862d\u8ddd\uff08\u93e1\u982d\u5b89\u88dd\u5e95\u5ea7\u5230\u7126\u9ede\u7684\u8ddd\u96e2\uff09\u4e0d\u540c\uff0c\u5373\u93e1\u982d\u5e95\u90e8\u5230Sensor\u7684\u8ddd\u96e2\u4e0d\u540c\u3002<\/p>\n

C\u4ecb\u9762\u7684\u6cd5\u862d\u8ddd\u96e2\u70ba17.526mm\uff0cCS\u4ecb\u9762\u7684\u6cd5\u862d\u8ddd\u96e2\u70ba12.5mm\u3002<\/p>\n

\u4f9d\u4ecb\u9762\u76f4\u5f91\u53ef\u5206\u70baM12\u3001M42\u7b49\uff0cM12\u662f\u6307\u4ecb\u9762\u76f4\u5f91\u70ba12mm\u3002<\/p>\n

\u96fb\u6c60\u5b89\u88dd\u5ea7<\/p>\n

\u4e00\u822c\u7528\u65bc\u55ae\u773c\u76f8\u6a5f\u3002\u5206\u70baE\u5361\u53e3\u8207EF\u5361\u53e3\uff0c\u5dee\u7570\u9084\u5728\u65bc\u6cd5\u862d\u8ddd\u4e0d\u540c\u3002<\/p>\n

2.4 \u93e1\u982d\u7e3d\u9577TTL<\/h3>\n

\u7e3d\u5149\u5b78\u9577\u5ea6\u662f\u6307\u93e1\u982d\u4e2d\u93e1\u7247\u7b2c\u4e00\u8868\u9762\u5230\u50cf\u5e73\u9762\u7684\u8ddd\u96e2<\/p>\n

\u6a5f\u69cb\u7e3d\u9577\u5ea6\u662f\u6307\u93e1\u7b52\u7aef\u9762\u5230\u50cf\u5e73\u9762\u7684\u8ddd\u96e2<\/p>\n

\u66f4\u63db\u93e1\u7247\u6642\u8981\u8003\u616e\u93e1\u7247\u7e3d\u9577\u662f\u5426\u5408\u9069\u3002<\/p>\n

TTL\u5f71\u97ff\u5b89\u88dd\u4f4d\u7f6e\u3002\u7576TTL\u592a\u9577\u6642\uff0c\u5957\u7b52\u53ef\u80fd\u4e0d\u5920\u9577\uff0c\u5c0e\u81f4\u5b89\u88dd\u5931\u6557\uff1b\u9019\u7a2e\u60c5\u6cc1\u767c\u751f\u5728\u6211\u5011\u66f4\u63db\u93e1\u982d\u7684\u6642\u5019\u3002<\/p>\n

\"1731835586515164.png\"<\/p>\n

\u9019\u662f\u93e1\u982d\u7684\u898f\u683c\uff0cTTL=16mm\u3002<\/p>\n

TTL\uff1a\u7e3d\u5149\u5b78\u9577\u5ea6\uff0c\u5f9e\u93e1\u982d\u7b2c\u4e00\u8868\u9762\u5230\u50cf\u5e73\u9762\u7684\u8ddd\u96e2<\/p>\n

TFL\uff1a\u93e1\u982d\u7e3d\u9577\u5ea6\/\u6a5f\u69cb\u7e3d\u9577\u5ea6\uff0c\u93e1\u7b52\u672b\u7aef\u5230\u50cf\u5e73\u9762\u7684\u8ddd\u96e2<\/p>\n

EFL\uff1a\u6709\u6548\u7126\u8ddd<\/p>\n

F\/NO: \u5149\u5708\u5927\u5c0f<\/p>\n

FBL\uff1a\u6a5f\u69cb\u5f8c\u7126\u8ddd\uff08\u6cd5\u862d\u7126\u8ddd\uff09\uff0c\u93e1\u982d\u7d44\u6700\u5f8c\u4e00\u500b\u6a5f\u69cb\u9762\u5230\u50cf\u5e73\u9762\u7684\u8ddd\u96e2<\/p>\n

BFL\uff08Back Focal Length\uff09\uff1a\u5149\u5b78\u5f8c\u7126\u8ddd\uff0c\u93e1\u982d\u6700\u5f8c\u4e00\u500b\u8868\u9762\u5230\u50cf\u5e73\u9762\u7684\u8ddd\u96e2<\/p>\n

FOV\uff1a\u6c34\u5e73FOV\u3001\u5782\u76f4FOV\u3001\u5c0d\u89d2FOV<\/p>\n

Chief Ray Agnle\uff1a\u4e3b\u5165\u5c04\u89d2<\/p>\n

\u87ba\u7d0b\uff1a\u87ba\u7d72\u5c3a\u5bf8\uff0cM8\u76f4\u5f918mm\uff0cP0.35\u87ba\u8ddd0.35mm<\/p>\n

\u7d50\u69cb\uff1a\u7d50\u69cb\uff0c4G+IR+\u91d1\u5c6c\uff0c4\u73bb\u74834\u73bb\u7483\u93e1\u7247\uff0c\u7d05\u5916\u7dda\u6ffe\u5149\u7247\uff0c\u91d1\u5c6c\u5916\u6bbc<\/p>\n

\u5206\u8fa8\u7387\uff1a\u5206\u8fa8\u7387\uff0cLP\/mm\uff0c\u6bcf\u6beb\u7c73\u7dda\u5c0d\u6578\uff0c\u6bcf\u6beb\u7c73\u7dda\u5c0d\u6578\uff1b\u4f8b\u598210 lp\/mm\u8868\u793a1mm\u9577\u5ea6\u4e2d\u670910\u5c0d\u9ed1\u767d\u7dda\uff0c\u7e3d\u5171\u670920\u689d\u9ed1\u767d\u7dda\uff0c\u6240\u4ee5\u6bcf\u689d\u7dda\u7684\u5bec\u5ea6\u70ba1\/20 = 0.05mm<\/p>\n

2.5 FOV \u8996\u5834\u89d2<\/h3>\n

FOV\u53d7\u5149\u5708\u5927\u5c0f\u5f71\u97ff\uff1b\u5c0d\u65bc\u540c\u4e00\u93e1\u982d\uff0c\u5149\u5708\u8d8a\u5927\uff0cFOV\u8d8a\u5927\uff0c\u5149\u5708\u8d8a\u5c0f\uff0cFOV\u8d8a\u5c0f<\/p>\n

\u8996\u91ce\u3001\u5149\u5708\u548c\u666f\u6df1\u4e4b\u9593\u7684\u5f71\u97ff\u3002<\/p>\n

FOV\u8d8a\u5927\uff0c\u76f8\u540c\u8ddd\u96e2\u4e0b\u7684\u5f71\u50cf\u8d8a\u5c0f\uff0c\u666f\u6df1\u8d8a\u6dfa\u3002<\/p>\n

2.6 \u7b49\u6548\u7126\u8ddd<\/h3>\n

\u7576\u76ee\u524d\u611f\u5149\u5143\u4ef6+\u76ee\u524d\u93e1\u982d\u62cd\u651d\u7684\u5c3a\u5bf8\u8207\u5168\u7247\u5e45\u76f8\u6a5f+\u93e1\u982d\u62cd\u651d\u7684\u5c3a\u5bf8\u76f8\u540c\uff0c\u5373\u8996\u91ce\u76f8\u540c\u6642\uff0c\u62cd\u651d\u6642\u93e1\u982d\u7684\u7126\u8ddd\u662f\u591a\u5c11\u5168\u7247\u5e45\u76f8\u6a5f\uff1f\u9019\u662f\u7b49\u6548\u7126\u8ddd\uff0c\u5373\u8207\u5168\u7247\u5e45\u76f8\u6a5f\u62cd\u651d\u76f8\u540c\u8996\u91ce\u89d2\u7684\u5f71\u50cf\u6642\u6240\u7528\u93e1\u982d\u7684\u7126\u8ddd\u3002<\/p>\n

2.7 \u5149\u5708<\/h3>\n

\u5149\u5708\u6703\u5f71\u97ff\u9032\u5165\u7684\u5149\u91cf\u3002\u5149\u5708\u8d8a\u5927\uff0c\u9032\u5165\u7684\u5149\u7dda\u8d8a\u591a\uff0c\u5f71\u50cf\u8d8a\u4eae\u3002<\/p>\n

\u5149\u5708\u5f71\u97ff\u666f\u6df1\u3002\u5149\u5708\u8d8a\u5927\uff0c\u666f\u6df1\u8d8a\u5c0f\u3002<\/p>\n

\u9078\u64c7\u93e1\u982d\u6642\uff0c\u9700\u4f9d\u7167\u5834\u666f\u5e73\u8861\u9032\u5149\u91cf\u548c\u666f\u6df1\uff0c\u9078\u64c7\u5149\u5708\u9069\u5408\u7684\u93e1\u982d\u3002<\/p>\n

\u76f8\u5c0d\u5b54\u5f91\uff08f'\/D\uff09\u7684\u5012\u6578\u7a31\u70baF\u6578\uff0c\u53c8\u7a31\u5b54\u5f91\u6578\uff0c\u8a18\u70baF\/\u2026\u3002<\/p>\n

\u9032\u5149\u91cf\u8207F\u6578\u7684\u5e73\u65b9\u6210\u53cd\u6bd4\uff0c\u5373F4.0\u5149\u5708\u7684\u9032\u5149\u91cf\u662fF2.8\u7684\u4e00\u534a\uff0c\u66dd\u5149\u6642\u9593\u9700\u8981\u52a0\u500d\u3002<\/p>\n

3.\u93e1\u982d\u6210\u50cf\u539f\u7406<\/h2>\n

\u50cf\u8dddv\uff1a\u93e1\u982d\u5230\u611f\u5149\u5143\u4ef6\u7684\u8ddd\u96e2<\/p>\n

\u7269\u8dddu\uff1a\u7269\u9ad4\u5230\u93e1\u982d\u7684\u8ddd\u96e2<\/p>\n

\u7126\u8dddf\uff1a\u93e1\u982d\u7126\u8ddd\u53c3\u6578\uff1b\u5b9a\u7126\u93e1\u982d\uff0c\u56fa\u5b9a\u7126\u8ddd\uff1b\u8b8a\u7126\u93e1\u982d\uff0c\u53ef\u8b8a\u7126\u8ddd<\/p>\n

\u81ea\u52d5\u5c0d\u7126\u548c\u81ea\u52d5\u5c0d\u7126\uff1a\u81ea\u52d5\u5c0d\u7126AF\uff0c\u7126\u8ddd\u4e0d\u8b8a\uff0c\u8abf\u6574\u50cf\u8ddd\u548c\u7269\u8ddd\uff08\u4e3b\u8981\u662f\u50cf\u8ddd\uff09\uff1b\u81ea\u52d5\u5c0d\u7126\u8b8a\u7126\uff0c\u8abf\u6574\u7126\u8ddd\u3001\u7269\u8ddd\u3001\u50cf\u8ddd\u4e0d\u8b8a<\/p>\n

3.1 \u51f8\u900f\u93e1\u6210\u50cf\u539f\u7406<\/h3>\n

\u51f8\u900f\u93e1\u6210\u50cf\u539f\u7406\u662f\u6307\u5229\u7528\u5149\u7684\u6298\u5c04\u539f\u7406\u6210\u50cf\u3002<\/p>\n

u>2f, f<\/p>\n

u=2f=v\uff1a\u5012\u7f6e\u4e14\u76f8\u7b49\u7684\u5be6\u50cf<\/p>\n

f <u 2f\uff1a\u5012\u7f6e\u653e\u5927\u7684\u5be6\u50cf\uff08\u6295\u5f71\u6a5f\uff09<\/p>\n

\u6210\u50cf\u516c\u5f0f\uff1a1\/u+1\/v=1\/f\uff0c\u53ea\u6709\u6eff\u8db3\u9019\u500b\u689d\u4ef6\u624d\u80fd\u5f62\u6210\u6e05\u6670\u7684\u5f71\u50cf\u3002<\/p>\n

\u5728\u76f8\u6a5f\u4e2d\uff0c\u901a\u5e38u >>> v\uff0c\u7269\u8ddd\u9060\u5927\u65bc\u50cf\u8ddd\u3002\u56e0\u6b64\uff0c\u5728AF\u904e\u7a0b\u4e2d\uff0c\u50cf\u8dddv\u7684\u5fae\u5c0f\u8b8a\u5316\u5c31\u6703\u9020\u6210\u7269\u8dddu\u7684\u8f03\u5927\u8b8a\u5316\u3002\u56e0\u6b64\uff0cVCM\u63a8\u52d5\u7684\u8ddd\u96e2\u901a\u5e38\u5f88\u77ed\uff0c\u4f46\u53ef\u4ee5\u63a7\u5236\u8f03\u5927\u7684\u6e05\u6670\u6210\u50cf\u7bc4\u570d\u3002<\/p>\n

\u5716\u7247\u5c3a\u5bf8\uff1a<\/strong><\/p>\n

\u7576f\u4e0d\u8b8a\u6642\uff0c\u50cf\u8dddv\u589e\u5927\uff0c\u7269\u8dddu\u6e1b\u5c0f\uff0c\u5f71\u50cf\u8b8a\u5927\uff08u+v\u6e1b\u5c11\uff09\uff08\u5411\u5916\u63a8AF VCM\u6642\uff0c\u6e05\u6670\u9ede\u66f4\u8fd1\uff0c\u7269\u50cf\u8b8a\u5927\uff09<\/p>\n

\u7576f\u4e0d\u8b8a\u6642\uff0c\u50cf\u8dddv\u6e1b\u5c0f\uff0c\u7269\u8dddu\u589e\u5927\uff0c\u50cf\u8b8a\u5c0f\uff08u+v\u589e\u5927\uff09<\/p>\n

\u82e5\u63db\u6210\u7126\u8ddd\u8f03\u9577\u7684\u93e1\u982d\uff0c\u50cf\u8ddd\u4e0d\u8b8a\uff0c\u7269\u8ddd\u4e5f\u5fc5\u9808\u6e1b\u5c11\uff1b\u5982\u679c\u4e0d\u60f3\u7e2e\u5c0f\u7269\u8ddd\uff0c\u5c31\u5fc5\u9808\u7e2e\u5c0f\u50cf\u8ddd\u3002<\/p>\n

3.2 \u4e0d\u540c\u5149\u7dda\u5c0d\u7126\u8ddd\u7684\u5f71\u97ff<\/h3>\n

\u4e0d\u540c\u6ce2\u9577\u7684\u5149\u5728\u4ecb\u8cea\u4e2d\u7684\u50b3\u64ad\u901f\u5ea6\u548c\u6298\u5c04\u7387\u4e0d\u540c\uff0c\u56e0\u6b64\u540c\u4e00\u900f\u93e1\u5c0d\u65bc\u4e0d\u540c\u6ce2\u9577\u7684\u5149\u5177\u6709\u4e0d\u540c\u7684\u7126\u8ddd\u3002\u9019\u7a31\u70ba\u8272\u6563\uff0c\u8207\u68f1\u93e1\u7684\u8272\u6563\u76f8\u540c\u3002\u6ce2\u9577\u8d8a\u9577\uff0c\u7126\u8ddd\u8d8a\u5927\u3002<\/p>\n

\u4e0d\u540c\u984f\u8272\u53ef\u898b\u5149\u7684\u6ce2\u9577\u7bc4\u570d\uff1a<\/p>\n

\u7d05\u8272\uff1a770~622nm\uff1b\u6a58\u8272\uff1a622~597nm\uff1b\u9ec3\u8272\uff1a597~577nm\uff1b\u7da0\u5149\uff1a577~492nm\uff1b\u85cd\u8272\u3001\u975b\u85cd\uff1a492~455nm\uff1b\u7d2b\u8272\uff1a455~350nm\u3002<\/p>\n

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1.CMOS image sensor (Sensor) 1.1 Sensor size Sensor size is a key indicator to measure the size of its photosensitive area, usually expressed in diagonal length in inches. The aspect ratio is generally 4:3, but for historical reasons, 16mm in the sensor is defined as 1 inch. The larger the sensor size, the stronger its ability to capture light, thus generating higher quality images. Common sensor sizes include 4\/3 inch, 1 inch, 2\/3 inch, 1\/1.8 inch, 1\/2 inch, 1\/2.5 inch, 1\/3 inch and 1\/4 inch. As the size decreases, its actual width and height will also decrease accordingly, affecting its ability to capture light and generate images. Size (inches) Actual width mm Actual height mm Diagonal length 4\/3" 18 13.5 22.5 1" 12.8 9.6 16 2\/3" 8.8 6.6 11 1\/1.8" 7.11 5.33 8.89 1\/2" 6.4 4.8 8 1\/2.5" 5.75 4.32 7.19 1\/3" 4.8 3.6 6 1\/4" 3.2 2.4 4 1.2 CMOS Image Sensor interface The interface types of CMOS image sensors mainly include MIPI, DVP and LVDS. The MIPI interface is a high-speed serial interface used to transmit image data and control signals, with the advantages of low power consumption, high bandwidth and strong anti-interference ability. The DVP interface is a parallel interface that transmits image data simultaneously through multiple data lines. It is relatively slow, but the cost is low. The LVDS interface is a differential serial interface used to transmit high-speed image data, suitable for long-distance transmission and high-speed applications. 1.3Pixel Pixel is the basic unit of the image sensor, which determines the resolution and clarity of the image. Generally speaking, the higher the pixel, the higher the image resolution and the stronger the ability to express details. However, too high a pixel may also lead to increased image noise and reduced image processing capabilities. 2.Lens 2.1Detailed explanation of optical lens parameters EFL (Effective Focal Length) Effective focal length The distance from the center of the lens to the focal point. Image focal length refers to the distance from the image principal surface (rear principal surface) to the image focal point (rear focal point); object focal length refers to the distance from the object principal surface (front principal surface) to the object focal point (front focal point). \u25cfNotes: A focal length that is too short will result in a large field of view, making it difficult to control distortion and the main light angle, low relative illumination, severe lens bending, and difficult to correct aberration. If the focal length is too long, the lens will be too long, which is not conducive to system miniaturization, and the field of view is too small to meet user needs. TTL (Total Track Length) Total length of the lens The total optical length refers to the distance from the first surface of the lens in the lens to the image surface. The total length of the mechanism refers to the distance from the end face of the lens barrel to the image surface. In lens products, it generally refers to the mechanism TTL. BFL (Back Focal Length) Optical back focal length The distance from the last surface of the lens in the optical system to the image surface. FFL (Front Focal Length) Optical front focal length The distance from the first surface of the lens in the optical system to the object surface. \u25cfNote: It should be distinguished from the mechanism back focal length (FBL, sometimes mixed with FFL, but here it specifically refers to the mechanism back focal length) or flange focal length. FBL\/FFL (Flange Focal Length) Mechanism back focal length (flange focal length) The distance from the last mechanism surface of the lens group to the image plane. FOV (Field Of View) Field of view The maximum field of view that the lens can capture. The field of view can be divided into diagonal field of view (FOV-D), horizontal field of view (FOV-H), and vertical field of view (FOV-V). The diagonal field of view is the largest, the horizontal field of view is the second, and the vertical field of view is the smallest. \u25cfCalculation formula: FOV-H=2tan(H\/2D), FOV-V=2tan(V\/2D), FOV-D=2tan[sqrt(H\u00b2+V\u00b2)\/2D], where H is the horizontal dimension, V is the vertical dimension, and D is the distance from the center of the lens to the object. F\/NO. (F-Number) Aperture (Relative Aperture) The ratio of the effective focal length to the entrance pupil diameter. \u25cfFunction: Determines the brightness of the lens. \u25cfRemarks: Under the premise of ensuring the same aperture, the shorter the focal length, the smaller the relative aperture should be. Generally, F\/#=2.8, but F\/#=3.2 for single-chip design. The smaller the F\/#, the larger the aperture. RI (Relative Illumination) Relative Illumination The ratio of central illumination to peripheral illumination. \u25cfNotes: Too low relative illumination is manifested as a brighter center of the image and darker surroundings, which is a vignetting phenomenon. Too low relative illumination can also cause color distortion. RI is proportional to COS\u2074 (semi-FOV). When RI < 50%, the human eye can distinguish the difference. In severe cases, the "missing corner" phenomenon will appear with all four corners of the picture completely black. Therefore, the basic requirement for RI is RI> 50%. CRA (Chief Ray Angle) Chief Ray Angle The chief ray angle is the angle between the chief ray and the parallel ray. The chief ray is the ray emitted from the edge of the object, passing through the center of the aperture diaphragm and finally reaching the edge of the image. \u25cf Notes: An inappropriate chief ray emission angle will lead to severe vignetting, decreased contrast, and color cast. MTF (Modulation Transfer Function)  Optical modulation transfer function Modulation is the ratio of the brightest light minus the darkest light to the brightest light plus the darkest light. The result M is the contrast of the light. \u25cf Note: The required calculation formula for Sensor MTF is Sensor full-frequency resolution = 1000\/2.8\/2 = 179lp\/mm (2.8um Pixel Size) or 1\/(2\u00d7Pixel Size). Resolution is the number of resolvable line pairs per 1 mm, in units of lp\/mm. TV-Line Scan<\/p>","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_eb_attr":"","footnotes":""},"categories":[1],"tags":[697,698],"class_list":["post-13460","post","type-post","status-publish","format-standard","hentry","category-news","tag-cmos-image-sensor","tag-camera-lenses"],"_links":{"self":[{"href":"https:\/\/dgzx.hk\/zh\/wp-json\/wp\/v2\/posts\/13460","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dgzx.hk\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dgzx.hk\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dgzx.hk\/zh\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/dgzx.hk\/zh\/wp-json\/wp\/v2\/comments?post=13460"}],"version-history":[{"count":0,"href":"https:\/\/dgzx.hk\/zh\/wp-json\/wp\/v2\/posts\/13460\/revisions"}],"wp:attachment":[{"href":"https:\/\/dgzx.hk\/zh\/wp-json\/wp\/v2\/media?parent=13460"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dgzx.hk\/zh\/wp-json\/wp\/v2\/categories?post=13460"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dgzx.hk\/zh\/wp-json\/wp\/v2\/tags?post=13460"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}