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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銆侀厤鑱旀兂鐢佃剳涓�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満鍣ㄨ瑙夊疄楠岃棰樻墍闇�杞‖浠躲�?span>
5銆侀厤鑱旀兂鐢佃剳涓�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>
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FMS鏌旀�х敓浜у埗閫犲疄楠岀郴緇?/span>
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寰幆鎼繍鑷姩鎺у埗瀹炶瑁呯疆
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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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