鏈哄櫒瑙嗚媯�嫻嬪鉤鍙版妧鏈弬鏁?/b>
鍙戣〃鏃墮棿錛?017-06-26
涓�縐嶆満鍣ㄨ瑙夋嫻嬪鉤鍙扮殑鎶�鏈弬鏁?/span>
涓�銆佺嚎闃電患鍚堟壂鎻忕郴緇燂細
1銆?span>Dalsa綰塊樀CCD宸ヤ笟鐩告満P4-CM-02K05D錛屽儚绱犫墺4096錛涘儚鍏冨昂瀵鎬笉灝忎簬7.04渭m錛涘厜璋憋細500~700nm涓嶄綆浜?span>265%銆傜伒鏁忓害涓嶅皬浜?span>320 DN/(nJ/cm2)錛?span>12bit錛?span>1脳gain銆?span>
2銆?span>Dalsa鍥懼儚閲囬泦鍗℃�葷嚎錛屽儚绱犳椂閽燂細鏈�澶?span>85 MHz錛涘撫瀛橈細128 MB錛涢珮綰у姛鑳斤細ILUTS錛屽鉤鍦烘牎姝ｏ紝騫崇嚎鏍℃錛屽潖鐐規(guī)牎姝ｏ紝Bayer錛?span>PoCL錛?span>
3銆?span>OPT綰垮厜婧愬強鎺у埗鍣ㄦ湁鏁堜寒鍏変笉灝忎簬300mm錛涘厜鏂戝搴﹀ぇ浜?span>15mm錛涗寒搴︹墺12涓?span>Lux錛涚嫭绔嬫帶鍒訛紝浜害鍙皟鑼冨洿錛?span>0.01~12涓?span>Lux錛涜創(chuàng)鐗囧紡LED錛?span>
4銆佽繍鍔?span>2D\3D騫崇Щ鍙拌繍鍔ㄦ柟寮忥細寰�澶嶈繍鍔紝閲嶅/鎬佸害綺懼害錛?span>鹵0.1mm錛涜Е鍙戞柟寮忊墺2000鑴夊啿/杞紱榪愬姩閫熷害錛?span>0~200 mm/s鍙皟錛涜Е鍙戞柟寮忥細2000鑴夊啿/杞紱鎴愬儚杈呭姪鏀灦錛?span>XYZ鍙皟錛涙垚鍍忥細XYZ鍙皟錛涘伐浣滆窛紱?span>300~900mm鍙皟錛?span>
5銆佺嚎鎵?span>35mm銆?span>50mm澶у彛寰勯暅澶淬�?span>5~75mm緇勫悎
6銆侀厤鑱旀兂鐢?shù)鑴戜竴鍙幫細CPU:intel i5-430M鎴栦互涓婏紱鍐呭瓨錛?span>2G鎴栦互涓婏紱紜洏錛?span>500G鎴栦互涓婏紱鍥懼艦鍔犻�燂細Nvida GT 300M銆?span>
浜屻�侀潰闃電患鍚堟壂鎻忕郴緇燂細
1銆?span>Basler闈㈤樀CCD宸ヤ笟鐩告満錛涘垎杈ㄧ巼鈮?span>1280(H) x 1024(V)錛涘撫鐜団墺30甯э紱浼犳劅鍣ㄧ被鍨嬶細1/3鈥?CCD鈥?/span>甯ф洕鍏夛紱鍏夎�﹂殧紱伙細1鍏?span>1鍑?span>I/O錛涙暟鎹帴鍙ｏ細Mini USB2.0銆?span>
2銆佹湁鏁堢劍璺濓細8mm銆?span>16mm錛涙垚鍍忓昂瀵革細8.8 脳 6.6 (桅11)錛涘伐浣滆窛紱伙細0.1~inf錛涙護闀滆灪綰癸細M30.5脳P0.5錛涘弻鍦嗗績闀滃ご涓�濂楋紱錛?span>
3銆佸渾鍏夋簮鍔熺巼鈮?span>3.6W錛涘唴寰勨墺蠁35錛?鍘氬害:25錛岀幆鏁扳墺3錛涘澹籌細閾濆悎閲戙�傜洿闈㈠瀷鍏夋簮鍔熺巼鈮?span>4.8W錛涗寒鍏夐潰鈮?span>60*60mm錛?span>
4銆佸彲寮�璁懼疄楠岄」鐩細鏈哄櫒瑙嗚鏁欏緇煎悎瀹為獙緋葷粺錛屽寘鍚細 1.鏁板瓧鐩告満鍥懼儚鍦ㄨ蔣浠朵腑鐨勫鍏ワ紱2.鏄庡満銆佹殫鍦哄疄楠岋紱3.鎽勫儚鏈烘爣瀹氬疄楠岋紱4.紜歡瑙﹀彂鐩告満鎷嶅浘瀹為獙錛?span>5.琚祴鐗╁畾浣嶅疄楠岋紱6.鐗╀綋灝哄嫻嬮噺緇煎悎瀹為獙錛?span>7.鏉＄爜銆佷簩緇寸爜璇誨彇瀹為獙錛?span>8.杞︾墝絳?span>OCR鍔熻兘瀹為獙錛?span>9.浜у搧棰滆壊鎸戦�夊疄楠岋紱10.鍗板埛緙洪櫡媯�嫻嬬患鍚堝疄楠岋紱11.鐗╀綋3D鍥懼儚鐨勬彁鍙栥�佹祴閲忕患鍚堝疄楠屻�備互涓嬮厤緗寘鍚崄欏規(guī)満鍣ㄨ瑙夊疄楠岃棰樻墍闇�杞‖浠躲�?span>
5銆侀厤鑱旀兂鐢?shù)鑴戜竴鍙幫細CPU:intel i5-430M鎴栦互涓婏紱鍐呭瓨錛?span>2G鎴栦互涓婏紱紜洏錛?span>500G鎴栦互涓婏紱鍥懼艦鍔犻�燂細Nvida GT 300M銆?span>
涓夈�佷竴銆佷簩濂楄澶囧潎閰嶈瑙夌郴緇熻蔣浠訛紝鏈変赴瀵岀殑鍥懼儚澶勭悊璇嗗埆綆楁硶鍙婂伐浣滃彴錛岀ǔ鍘嬬數(shù)婧愮瓑鐩稿叧閰嶅璁懼銆?span>
鐩稿叧浜у搧錛?span>
FMS鏌旀�х敓浜у埗閫犲疄楠岀郴緇?/span>
妯″潡寮忔煍鎬ц嚜鍔ㄧ幆褰㈢敓浜х嚎瀹炶緋葷粺
寰幆鎼繍鑷姩鎺у埗瀹炶瑁呯疆
鐢?shù)宸ョ數(shù)瀛愮數(shù)鍔涙嫋鍔ㄥ疄楠岃缃?/span>
鐜頒唬鐗╂祦浠撳偍鑷姩鍖栧疄楠岀郴緇?/span>
淇℃伅鏉ユ簮錛?/div>
鐩稿叧淇℃伅
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