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{"id":2267,"date":"2025-04-22T16:06:29","date_gmt":"2025-04-22T16:06:29","guid":{"rendered":"https:\/\/www.dronestab.ru\/product\/at50-50mm-640512-ir-thermal-camera-with-ai-automatic-tracking-and-3-axis-gimbal\/"},"modified":"2025-04-24T14:23:50","modified_gmt":"2025-04-24T14:23:50","slug":"at50-50mm-640512-ir-thermal-camera-with-ai-automatic-tracking-and-3-axis-gimbal","status":"publish","type":"product","link":"https:\/\/www.gimbaluav.com\/ru\/\u043f\u0440\u043e\u0434\u0443\u043a\u0442\/at50-50mm-640512-ir-thermal-camera-with-ai-automatic-tracking-and-3-axis-gimbal\/","title":{"rendered":"AT50 50 \u043c\u043c 640*512 \u0418\u041a \u0442\u0435\u043f\u043b\u043e\u0432\u0438\u0437\u0438\u043e\u043d\u043d\u0430\u044f \u043a\u0430\u043c\u0435\u0440\u0430 \u0441 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u043c \u043e\u0442\u0441\u043b\u0435\u0436\u0438\u0432\u0430\u043d\u0438\u0435\u043c AI \u0438 3-\u043e\u0441\u0435\u0432\u044b\u043c \u043a\u0430\u0440\u0434\u0430\u043d\u043e\u043c"},"content":{"rendered":"

\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\u041f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u044b \u043e\u0431\u043e\u0440\u0443\u0434\u043e\u0432\u0430\u043d\u0438\u044f<\/strong><\/td>\n<\/tr>\n
\u0420\u0430\u0431\u043e\u0447\u0435\u0435 \u043d\u0430\u043f\u0440\u044f\u0436\u0435\u043d\u0438\u0435<\/td>\n16V<\/td>\n<\/tr>\n
\u0412\u0445\u043e\u0434\u043d\u043e\u0435 \u043d\u0430\u043f\u0440\u044f\u0436\u0435\u043d\u0438\u0435<\/td>\n4S ~ 6S<\/td>\n<\/tr>\n
\u0412\u044b\u0445\u043e\u0434\u043d\u043e\u0435 \u043d\u0430\u043f\u0440\u044f\u0436\u0435\u043d\u0438\u0435<\/td>\n5 \u0412 (\u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0430\u0435\u0442\u0441\u044f \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0428\u0418\u041c)<\/td>\n<\/tr>\n
\u0414\u0438\u043d\u0430\u043c\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0442\u043e\u043a<\/td>\n310mA~1600mA @ 16V<\/td>\n<\/tr>\n
\u0423\u0441\u043b\u043e\u0432\u0438\u044f \u0440\u0430\u0431\u043e\u0442\u044b \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0435.<\/td>\n-20\u2103 ~ +60\u2103<\/td>\n<\/tr>\n
\u0421\u0442\u0435\u043f\u0435\u043d\u044c \u0437\u0430\u0449\u0438\u0442\u044b IP<\/td>\nIP44<\/td>\n<\/tr>\n
\u0412\u044b\u0445\u043e\u0434 <\/td>\nmicro HDMI (1080P 30fps\/60fps) \/ IP (RTSP\/UDP 720p\/1080p 30fps) <\/td>\n<\/tr>\n
\u041b\u043e\u043a\u0430\u043b\u044c\u043d\u043e\u0435 \u0445\u0440\u0430\u043d\u0438\u043b\u0438\u0449\u0435<\/td>\nTF-\u043a\u0430\u0440\u0442\u0430 (\u0434\u043e 128 \u0413\u0431, \u043a\u043b\u0430\u0441\u0441 10, \u0444\u043e\u0440\u043c\u0430\u0442 FAT32 \u0438\u043b\u0438 ex FAT)<\/td>\n<\/tr>\n
\u0424\u043e\u0440\u043c\u0430\u0442 \u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u0439<\/td>\nJPG (1920*1080) <\/td>\n<\/tr>\n
\u0424\u043e\u0440\u043c\u0430\u0442 \u0445\u0440\u0430\u043d\u0435\u043d\u0438\u044f \u0432\u0438\u0434\u0435\u043e<\/td>\nMP4 (1080P 30 \u043a\u0430\u0434\u0440\u043e\u0432 \u0432 \u0441\u0435\u043a\u0443\u043d\u0434\u0443)<\/td>\n<\/tr>\n
\u0413\u0430\u0434\u0430\u043d\u0438\u0435 \u043d\u0430 \u043a\u0430\u0440\u0442\u0430\u0445 \u043e\u043d\u043b\u0430\u0439\u043d<\/td>\nHTTP \u0447\u0438\u0442\u0430\u0442\u044c \u043a\u0430\u0440\u0442\u0438\u043d\u043a\u0438<\/td>\n<\/tr>\n
\u041c\u0435\u0442\u043e\u0434 \u043a\u043e\u043d\u0442\u0440\u043e\u043b\u044f<\/td>\n\u0428\u0418\u041c \/ TTL \/ S.BUS \/ TCP(IP-\u0432\u044b\u0445\u043e\u0434)\/UDP(\u0432\u0435\u0440\u0441\u0438\u044f IP-\u0432\u044b\u0445\u043e\u0434\u0430)<\/td>\n<\/tr>\n
\u0413\u0435\u043e\u0442\u0430\u0433\u0433\u0438\u043d\u0433<\/td>\n\u041f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0430 \u043e\u0442\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u0432\u0440\u0435\u043c\u0435\u043d\u0438 \u0438 GPS-\u043a\u043e\u043e\u0440\u0434\u0438\u043d\u0430\u0442 \u043d\u0430 \u0441\u043d\u0438\u043c\u043a\u0430\u0445 exif<\/td>\n<\/tr>\n
\u0425\u0430\u0440\u0430\u043a\u0442\u0435\u0440\u0438\u0441\u0442\u0438\u043a\u0438 \u043a\u0430\u0440\u0434\u0430\u043d\u043d\u043e\u0433\u043e \u0448\u0430\u0440\u043d\u0438\u0440\u0430<\/strong><\/td>\n<\/tr>\n
\u041c\u0435\u0445\u0430\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u0434\u0438\u0430\u043f\u0430\u0437\u043e\u043d<\/td>\nPitch\/Tilt: -40\u00b0\uff5e100\u00b0,      Roll: \u00b170\u00b0,    Yaw\/Pan: \u00b1300\u00b0 \/ \u00b1360\u00b0*N (IP output version)<\/td>\n<\/tr>\n
\u041a\u043e\u043d\u0442\u0440\u043e\u043b\u0438\u0440\u0443\u0435\u043c\u044b\u0439 \u0434\u0438\u0430\u043f\u0430\u0437\u043e\u043d<\/td>\n\u0423\u0433\u043e\u043b \u043d\u0430\u043a\u043b\u043e\u043d\u0430: -35\u00b0\uff5e95\u00b0, \u0440\u044b\u0441\u043a\u0430\u043d\u044c\u0435\/\u043f\u0430\u043d\u043e\u0440\u0430\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435: \u00b1290\u00b0 \/ \u00b1360\u00b0*N (\u0432\u0435\u0440\u0441\u0438\u044f \u0441 IP-\u0432\u044b\u0445\u043e\u0434\u043e\u043c)<\/td>\n<\/tr>\n
\u0423\u0433\u043e\u043b \u0432\u0438\u0431\u0440\u0430\u0446\u0438\u0438<\/td>\n\u0423\u0433\u043e\u043b \u043f\u0440\u043e\u0434\u043e\u043b\u044c\u043d\u043e\u0433\u043e\/\u043f\u043e\u043f\u0435\u0440\u0435\u0447\u043d\u043e\u0433\u043e \u043d\u0430\u043a\u043b\u043e\u043d\u0430: \u00b10,02\u00b0, \u0443\u0433\u043e\u043b \u0440\u044b\u0441\u043a\u0430\u043d\u044c\u044f: \u00b10,02\u00b0<\/td>\n<\/tr>\n
\u041e\u0434\u043d\u0430 \u043a\u043b\u0430\u0432\u0438\u0448\u0430 \u0434\u043b\u044f \u0446\u0435\u043d\u0442\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f<\/td>\n\u221a<\/td>\n<\/tr>\n
\u0425\u0430\u0440\u0430\u043a\u0442\u0435\u0440\u0438\u0441\u0442\u0438\u043a\u0438 \u0418\u041a \u0442\u0435\u043f\u043b\u043e\u0432\u0438\u0437\u043e\u0440\u0430<\/strong><\/td>\n<\/tr>\n
\u0414\u043b\u0438\u043d\u0430 \u0444\u043e\u043a\u0443\u0441\u0430<\/td>\n50 \u043c\u043c<\/td>\n<\/tr>\n
\u041f\u043b\u0435\u043d\u043a\u0430 \u0441 \u043f\u043e\u043a\u0440\u044b\u0442\u0438\u0435\u043c<\/td>\nDLC<\/td>\n<\/tr>\n
\u0413\u043e\u0440\u0438\u0437\u043e\u043d\u0442\u0430\u043b\u044c\u043d\u044b\u0439 FOV<\/td>\n8.8\u00b0<\/td>\n<\/tr>\n
\u0412\u0435\u0440\u0442\u0438\u043a\u0430\u043b\u044c\u043d\u044b\u0439 FOV<\/td>\n7.0\u00b0<\/td>\n<\/tr>\n
\u0414\u0438\u0430\u0433\u043e\u043d\u0430\u043b\u044c\u043d\u044b\u0439 FOV<\/td>\n11.2\u00b0<\/td>\n<\/tr>\n
\u0420\u0430\u0441\u0441\u0442\u043e\u044f\u043d\u0438\u0435 \u0434\u043e \u0434\u0435\u0442\u0435\u043a\u0442\u0438\u0432\u0430 (\u0447\u0435\u043b\u043e\u0432\u0435\u043a: 1,8\u00d70,5 \u043c)<\/td>\n2083 \u043c\u0435\u0442\u0440\u0430<\/td>\n<\/tr>\n
\u0420\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u0435 \u0440\u0430\u0441\u0441\u0442\u043e\u044f\u043d\u0438\u044f (\u0447\u0435\u043b\u043e\u0432\u0435\u043a: 1,8\u00d70,5 \u043c)<\/td>\n521 \u043c\u0435\u0442\u0440<\/td>\n<\/tr>\n
\u041f\u0440\u043e\u0432\u0435\u0440\u0435\u043d\u043d\u043e\u0435 \u0440\u0430\u0441\u0441\u0442\u043e\u044f\u043d\u0438\u0435 (\u0447\u0435\u043b\u043e\u0432\u0435\u043a: 1,8\u00d70,5 \u043c)<\/td>\n260 \u043c\u0435\u0442\u0440\u043e\u0432<\/td>\n<\/tr>\n
\u0420\u0430\u0441\u0441\u0442\u043e\u044f\u043d\u0438\u0435 \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u044f (\u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0438\u043b\u044c: 4,2\u00d71,8 \u043c)<\/td>\n6389 \u043c\u0435\u0442\u0440\u043e\u0432<\/td>\n<\/tr>\n
\u0420\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u0435 \u0440\u0430\u0441\u0441\u0442\u043e\u044f\u043d\u0438\u044f (\u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0438\u043b\u044c: 4,2\u00d71,8 \u043c)<\/td>\n1597 \u043c\u0435\u0442\u0440\u043e\u0432<\/td>\n<\/tr>\n
\u041f\u0440\u043e\u0432\u0435\u0440\u0435\u043d\u043d\u043e\u0435 \u0440\u0430\u0441\u0441\u0442\u043e\u044f\u043d\u0438\u0435 (\u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0438\u043b\u044c: 4,2\u00d71,8 \u043c)<\/td>\n799 \u043c\u0435\u0442\u0440\u043e\u0432<\/td>\n<\/tr>\n
\u0420\u0435\u0436\u0438\u043c \u0440\u0430\u0431\u043e\u0442\u044b<\/td>\n\u041d\u0435\u043e\u0445\u043b\u0430\u0436\u0434\u0430\u0435\u043c\u044b\u0439 \u0434\u043b\u0438\u043d\u043d\u043e\u0432\u043e\u043b\u043d\u043e\u0432\u044b\u0439 \u0442\u0435\u043f\u043b\u043e\u0432\u0438\u0437\u043e\u0440 VOx (8 \u043c\u043a\u043c~14 \u043c\u043a\u043c)<\/td>\n<\/tr>\n
\u041f\u0438\u043a\u0441\u0435\u043b\u044c \u0434\u0435\u0442\u0435\u043a\u0442\u043e\u0440\u0430<\/td>\n640*512<\/td>\n<\/tr>\n
\u0428\u0430\u0433 \u043f\u0438\u043a\u0441\u0435\u043b\u044f<\/td>\n12 \u043c\u043a\u043c<\/td>\n<\/tr>\n
\u041c\u0435\u0442\u043e\u0434 \u0444\u043e\u043a\u0443\u0441\u0438\u0440\u043e\u0432\u043a\u0438<\/td>\n\u0410\u0442\u0435\u0440\u043c\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u0440\u043e\u0441\u0442\u043e\u0439 \u043e\u0431\u044a\u0435\u043a\u0442\u0438\u0432<\/td>\n<\/tr>\n
NETD<\/td>\n\u226450mK@F.0 @25\u2103<\/td>\n<\/tr>\n
\u0426\u0432\u0435\u0442\u043e\u0432\u0430\u044f \u043f\u0430\u043b\u0438\u0442\u0440\u0430<\/td>\n\u0411\u0435\u043b\u0430\u044f \u0433\u043e\u0440\u044f\u0447\u0430\u044f, \u0447\u0435\u0440\u043d\u0430\u044f \u0433\u043e\u0440\u044f\u0447\u0430\u044f, \u043f\u0441\u0435\u0432\u0434\u043e\u0446\u0432\u0435\u0442\u043d\u0430\u044f<\/td>\n<\/tr>\n
\u0426\u0438\u0444\u0440\u043e\u0432\u043e\u0439 \u0437\u0443\u043c<\/td>\n1x ~ 8x<\/td>\n<\/tr>\n
\u0421\u0438\u043d\u0445\u0440\u043e\u043d\u0438\u0437\u0430\u0446\u0438\u044f \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e\u0433\u043e \u0432\u0440\u0435\u043c\u0435\u043d\u0438<\/td>\n\u0414\u0430<\/td>\n<\/tr>\n
\u041e\u0442\u0441\u043b\u0435\u0436\u0438\u0432\u0430\u043d\u0438\u0435 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0418\u041a-\u043a\u0430\u043c\u0435\u0440\u044b<\/strong><\/td>\n<\/tr>\n
\u0421\u043a\u043e\u0440\u043e\u0441\u0442\u044c \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u044f \u043f\u0438\u043a\u0441\u0435\u043b\u044f \u043e\u0442\u043a\u043b\u043e\u043d\u0435\u043d\u0438\u044f<\/td>\n30 \u0413\u0446<\/td>\n<\/tr>\n
\u0412\u044b\u0445\u043e\u0434\u043d\u0430\u044f \u0437\u0430\u0434\u0435\u0440\u0436\u043a\u0430 \u043f\u0438\u043a\u0441\u0435\u043b\u044f \u043e\u0442\u043a\u043b\u043e\u043d\u0435\u043d\u0438\u044f<\/td>\n<30 \u043c\u0441<\/td>\n<\/tr>\n
\u041c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0439 \u043a\u043e\u043d\u0442\u0440\u0430\u0441\u0442 \u043e\u0431\u044a\u0435\u043a\u0442\u0430<\/td>\n5%<\/td>\n<\/tr>\n
SNR<\/td>\n4<\/td>\n<\/tr>\n
\u041c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0439 \u0440\u0430\u0437\u043c\u0435\u0440 \u043e\u0431\u044a\u0435\u043a\u0442\u0430<\/td>\n16*16 \u043f\u0438\u043a\u0441\u0435\u043b\u0435\u0439<\/td>\n<\/tr>\n
\u041c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0439 \u0440\u0430\u0437\u043c\u0435\u0440 \u043e\u0431\u044a\u0435\u043a\u0442\u0430<\/td>\n256*256 \u043f\u0438\u043a\u0441\u0435\u043b\u0435\u0439<\/td>\n<\/tr>\n
\u0421\u043a\u043e\u0440\u043e\u0441\u0442\u044c \u043e\u0442\u0441\u043b\u0435\u0436\u0438\u0432\u0430\u043d\u0438\u044f<\/td>\n\u00b148 \u043f\u0438\u043a\u0441\u0435\u043b\u0435\u0439\/\u043a\u0430\u0434\u0440<\/td>\n<\/tr>\n
\u0412\u0440\u0435\u043c\u044f \u0437\u0430\u043f\u043e\u043c\u0438\u043d\u0430\u043d\u0438\u044f \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432<\/td>\n100 \u043a\u0430\u0434\u0440\u043e\u0432<\/td>\n<\/tr>\n
AI Performance<\/strong><\/td>\n<\/tr>\n
\u0422\u0438\u043f \u043c\u0438\u0448\u0435\u043d\u0435\u0439<\/td>\n\u0410\u0432\u0442\u043e\u043c\u043e\u0431\u0438\u043b\u044c \u0438 \u0447\u0435\u043b\u043e\u0432\u0435\u043a<\/td>\n<\/tr>\n
\u041e\u0434\u043d\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0435 \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0435\u043d\u0438\u0435 \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u0430<\/td>\n\u2265 10 \u0446\u0435\u043b\u0435\u0439<\/td>\n<\/tr>\n
\u041c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0439 \u043a\u043e\u044d\u0444\u0444\u0438\u0446\u0438\u0435\u043d\u0442 \u043a\u043e\u043d\u0442\u0440\u0430\u0441\u0442\u043d\u043e\u0441\u0442\u0438<\/td>\n5%<\/td>\n<\/tr>\n
\u041c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0439 \u0440\u0430\u0437\u043c\u0435\u0440 \u0446\u0435\u043b\u0438<\/td>\n5\u00d75 \u043f\u0438\u043a\u0441\u0435\u043b\u0435\u0439<\/td>\n<\/tr>\n
\u0421\u043a\u043e\u0440\u043e\u0441\u0442\u044c \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u044f \u0430\u0432\u0442\u043e\u043c\u043e\u0431\u0438\u043b\u0435\u0439<\/td>\n\u226585%<\/td>\n<\/tr>\n
\u0423\u0440\u043e\u0432\u0435\u043d\u044c \u043b\u043e\u0436\u043d\u043e\u0439 \u0442\u0440\u0435\u0432\u043e\u0433\u0438<\/td>\n\u226410%<\/td>\n<\/tr>\n
\u0418\u043d\u0444\u043e\u0440\u043c\u0430\u0446\u0438\u044f \u043e\u0431 \u0443\u043f\u0430\u043a\u043e\u0432\u043a\u0435<\/strong><\/td>\n<\/tr>\n
N.W.<\/td>\n860g (Viewport version)<\/td>\n<\/tr>\n
\u041f\u0440\u043e\u0434\u0443\u043a\u0442 \u0438\u0437\u043c\u0435\u0440\u044f\u0435\u0442\u0441\u044f.<\/td>\n134*100.8*167.5mm (Standard version) \/134*100.8*173.2mm (Viewport version)<\/td>\n<\/tr>\n
\u0410\u043a\u0441\u0435\u0441\u0441\u0443\u0430\u0440\u044b<\/td>\n1\u0448\u0442 \u043a\u0430\u0440\u0434\u0430\u043d\u043d\u044b\u0439 \u0448\u0430\u0440, \u0432\u0438\u043d\u0442\u044b, \u043c\u0435\u0434\u043d\u044b\u0435 \u0446\u0438\u043b\u0438\u043d\u0434\u0440\u044b, \u0434\u0435\u043c\u043f\u0444\u0438\u0440\u0443\u044e\u0449\u0438\u0435 \u0448\u0430\u0440\u0438\u043a\u0438, 1\u0448\u0442 \u043a\u0430\u0431\u0435\u043b\u044c USB TTL \/ \u0412\u044b\u0441\u043e\u043a\u043e\u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u0430\u044f \u043f\u043b\u0430\u0441\u0442\u0438\u043a\u043e\u0432\u0430\u044f \u043a\u043e\u0440\u043e\u0431\u043a\u0430 \u0441 \u043f\u0435\u043d\u043e\u043f\u043b\u0430\u0441\u0442\u043e\u0432\u043e\u0439 \u043f\u043e\u0434\u0443\u0448\u043a\u043e\u0439<\/td>\n<\/tr>\n
G.W.<\/td>\n1969g<\/td>\n<\/tr>\n
\u041f\u0430\u043a\u0435\u0442 \u043c\u0435\u0440.<\/td>\n350*300*250 \u043c\u043c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>","protected":false},"excerpt":{"rendered":"

Hardware Parameter Working voltage 16V Input voltage 4S ~ 6S Output voltage 5V (connect with PWM) Dynamic current 310mA~1600mA @ 16V Working environment temp. -20\u2103 ~ +60\u2103 IP rating IP44 Output  micro HDMI(1080P 30fps\/60fps) \/ IP (RTSP\/UDP 720p\/1080p 30fps)  Local-storage TF card (Up to 128G, class 10, FAT32 or ex FAT format) Photo storage format JPG(1920*1080)  […]","protected":false},"featured_media":2266,"comment_status":"open","ping_status":"closed","template":"","meta":[],"product_brand":[],"product_cat":[339],"product_tag":[],"class_list":{"0":"post-2267","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-gimbals-payload","8":"first","9":"instock","10":"shipping-taxable","11":"purchasable","12":"product-type-simple"},"yoast_head":"\nAT50 50mm 640*512 IR Thermal Camera with AI Automatic Tracking and 3-Axis Gimbal - Gimbaluav<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.gimbaluav.com\/ru\/\u043f\u0440\u043e\u0434\u0443\u043a\u0442\/at50-50mm-640512-ir-thermal-camera-with-ai-automatic-tracking-and-3-axis-gimbal\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AT50 50mm 640*512 IR Thermal Camera with AI Automatic Tracking and 3-Axis Gimbal\" \/>\n<meta property=\"og:description\" content=\"Hardware Parameter Working voltage 16V Input voltage 4S ~ 6S Output voltage 5V (connect with PWM) Dynamic current 310mA~1600mA @ 16V Working environment temp. -20\u2103 ~ +60\u2103 IP rating IP44 Output  micro HDMI(1080P 30fps\/60fps) \/ IP (RTSP\/UDP 720p\/1080p 30fps)  Local-storage TF card (Up to 128G, class 10, FAT32 or ex FAT format) Photo storage format JPG(1920*1080)  [...]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.gimbaluav.com\/ru\/\u043f\u0440\u043e\u0434\u0443\u043a\u0442\/at50-50mm-640512-ir-thermal-camera-with-ai-automatic-tracking-and-3-axis-gimbal\/\" \/>\n<meta property=\"og:site_name\" content=\"Gimbaluav\" \/>\n<meta property=\"article:modified_time\" content=\"2025-04-24T14:23:50+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.gimbaluav.com\/wp-content\/uploads\/2025\/04\/g16058707516911630498402632_1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"416\" \/>\n\t<meta property=\"og:image:height\" content=\"416\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u041f\u0440\u0438\u043c\u0435\u0440\u043d\u043e\u0435 \u0432\u0440\u0435\u043c\u044f \u0434\u043b\u044f \u0447\u0442\u0435\u043d\u0438\u044f\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 \u043c\u0438\u043d\u0443\u0442\u0430\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.gimbaluav.com\/product\/at50-50mm-640512-ir-thermal-camera-with-ai-automatic-tracking-and-3-axis-gimbal\/\",\"url\":\"https:\/\/www.gimbaluav.com\/product\/at50-50mm-640512-ir-thermal-camera-with-ai-automatic-tracking-and-3-axis-gimbal\/\",\"name\":\"AT50 50mm 640*512 IR Thermal Camera with AI Automatic Tracking and 3-Axis Gimbal - 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