Documentation for Face PSIM 1.0.1.

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General request format:

POST http://AxxonPSIM_user_login:AxxonPSIM_user_password@IP address:port/firserver/FindFaces

Request parameters:

ParameterRequiredParameter description
server_idYes

ID of the Face recognition server in Face PSIM

findPersons

YesThe number of matches that must be returned

image

YesImage in the base64 format

Request example:

POST http://1:1@127.0.0.1:10000/firserver/FindFaces

{
 "server_id" : "1",
 "findPersons": 2,
 "image" :  "/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/2wBDAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQH/wAARCABpAIEDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD85fFHjAarqevaj9u85tR1jUdTRRKTst72RPIkdCB5E03kyebbkMY9i5kbIrgLW8V5xcyXO9428yH0i25Zx947t52c4G0rnDZyPN9U1u4jsIrq4ijiv9Uub6+vvLXyBJdyvD5zpH8wjhxtMUAJEOWw7b+OfXxG1vGH5ZnSRfLEuCM7cZOw7upPQZwM45rnq4mrVkpTauuyt2/yPpcvpUoYSSlf6xy/u9Xbm9zp1W+np6nun/Cdh5Jry4maIq0caRqxl3eVv3EuAgTJYHBRiOetaFt45bxBdWOkKXitriQ/aZvMJYCMp5e35F+9ufPzc4r5fg1a4lLxdBvLbiQepPG0AYwAM84OcYGK9L8LS7Z4pZJki8qWBN23DfvfMyw+YZC+WMr79RxWFWrVdOShbma00vrf+v0Pdy7B1as6cmm3ddLJ7dO7d/L8bfWOs63eNZW+hWd5cfZY4GWKyg4a4UqgneWfLEeXhCgMbgh3+YY5+rP2a/g/DqE2ka3NZCSxt7e+umupZAZYp4/JZYwSAVDMTv679oBAxXy58IdHvvGGpulnDI7tcpa2s7W5mWWGMyfa5Fy6bMK0O5QWB4O4Y5/Vz4WeC30i1g0nTr14bAW7reu0Hl7ZpQCwWPzznlXydwyfyr08BSo+y561/rEVzQs2lzafZW/XyPtsL7OhScZr964+7/iVlt5a7372vt3ltp4jiia4BuGSN/JKHyoljkwFCxASBCoQb3BPmYX5V2jMEUUqPHDDGWG92LFj8u4rgbdv5888d+nb3tjBaW6yWYhkhiiWBybjktBnMgUqcb95+TPy7Rljzjk476Fpt1s372M/PGV2hs9MSZ5/i/g4/KuupJ+zktNu3p/l/Wlt4VZuSTtZvsLdS3ds0a7fLX5sg/xgbR2AxjJI5I59gTizBGl+0bgGGQVxnJxwM5HTp0/Lvrajq9kQiSzL553houP3R+XHzH72/knhcBc8544+4u0jniCOZfOEhUIpIUR7Dg4JwG3jHAzg4yBiuBO2pvNtRbW6Rl+I53a2e3EaqbkhhKV8zyxD6LtXdv8AMHO5SNv8QrxjxJYi+WKOOQNdrDc+ViIKrfLFu3pv5bIXYc/LzjO6vo/7NDfackn2fzpXWcpCSAy+WEz8x6l9wH3Btx3J48Y1gWqyWzKPsly961hJ5hU/ZVuIpX+0DBXz8G2w0f7r7wPmcYPn4+hehWq00/bRjzQvqua8fs6X0W1zlddpXm1yrWXTT1Pzn+OHhK31bRrm1u7ZI760sNdvoHlYSyyrbCw89S5WMgfNGR97YeMNkmvxw8ao+mXYhhVRDJF58dwJD+8aQkSRGMKQBBtUBzIfM837sYXn9vvi9a3d9GbYRm41HU9M8RQaXLG+wSW0z2cd7MyhXwIxDbFV3YfzG+ZdmW/D74mqlprmpaeki/8AEuRLNohJvMc8Ty+bIemwynGEIONhyzckeZgK16tKFa3tJPS2ivZPZersuqPAx0HW5qkP4aTlJ76WS30tdrt/kqXhjxJeadqFtJ57yW0sU0VyquYyImMfy5G8/vO5AGAnQ54/Rv8AZ7+KOsx+M/B+oJqV3aXDXNrpdhPplqhEWnxby/8AaDG5g+0tbjyxbIdnmGWf5o8Hd+UGkyzpcgnLx9GTpuzwCGwSu3B7c8ZIxmvr74QXFzb6voEyyCSysbk3bWmHSR7hY3mtkWdJAYwWikV/3L7twOAEIb3sFhKWGxUK9HmjU50/i0v6WPj/AHsbTxmGqax5XFKOj+y9/wCvPQ/ob/4aBvv+gprn/ggT/wCW9FfmH/w0H4s/6EO3/wDBxN/8q6K+n+t1/wCb8PT/ACR4P9g0NPdqdPtv+75ef9aW+K/EOvXd/qTzSyqbeEuba3XChVaRo2JbP8ZgVh8ox0yQMnlZNSaSYnOEzwu4kDseeOc/r7Vl6ncPFcS/eeSMG1dmJjVxDLNItwoIfAm+0lSgyE8sESPnC4cF35k5EhMKgE5BLnaBg8fKc47c8e5r5eVFWfInzaW18z3sPhqn1ilKfwqSbSVltHt6nrGjyfaGYgquzywxZ+7b8Y4/2WJ9zz7+8eB/Dv8AaWpWRuImlQuPJjjc7ZCwILNgfw/Lt45yQMcGvmfw5CdWH+gtJcBpYkDoCqghnB5Bb8OeME9TX6GfCvT7XwtpunX2r2bSl1Vo5FkDsnkjL7wEGzPmIVySWKnPQVFKlWpzhOUOaMWm1bf4f8/16o/QMt5KUVVsvcSeuy0j6fL/AIc+yPgvFP8ADnR4Ijp3264Wae9tLiKKOKWOObaZ7doWd9xYeWok8zBwfkHQ+3XH7RtlokD6jeeFNdSFj5c1vG0cSoBxNceaI3LhdwbYYlA6B+Sa+R9J+Lun/bb9YrZtVigtciNo/L+wABwcTLIQPP558vgQZwTiuI8U+K1hQ3VvewyW99GGeK4me4jt/tPWLyBIvXGC29c7eRkCutSU5x5KM4zbXK9bJ+69VbVaq/zMMJjKWLxdR1pX9nL3VD3F9ndX1/O3ofd2l/FjSPEKz3uka7JJp1wFkgR3RZIX+Zp4ZYVmkI2kqA5ZS+D8nGD1Fl4we5ggaKcGRjIqMhwV2lMsSfv7s5xgbcdTmvzc8JXx0u6ht9P0+IxXCST3MmmeapYnDR77fdNkku+zEibfmGGDcfanwoKa2unwvDdJdPHezW9tJExeVbUxGffnZ5O3zYyPkk3bm/u89EYYiTSqRXI/i0tp7vX5/wBXR7UJ4ZyXI5c3S7vrp/n+P3eh674otLVYhMJPtk4nPmKSQxjEf3vlOzbv4yWzk/3a+cvFP7QV74UnuIrOGO5lYPEN16FMJG0KQv2SY87idoIzsA9Mep/G1bjwzpIvrSWOKO7hmUTSIN0Uw8sLCiFskszkF8jOB8pGK/MrxRc3FrPcTeIJDbXd6xkjW5cosyrynksRht/mYYHGw7cbs1x1eaOIp0qe03azV3sn/maVakKVOdSpFyhFXklo2r20fc+o/C3xa8baxqYvb/xNdvFL5j2OnWduYRCrn9+sk63LebnEAQ+Sm3a3yndgegJ4501JIJNWTUpJJJLhrhpLhXCyLEYopPmWMLgzuerZwASOp+ENL+MXgjRoVsrp9YtNcs1ZDDa2rSQgT8RyJOGQz58rOAibAByQ3FS6+Icd6kc0N2L60d5Jb37e8sdxbRkp5eyHcCruPM3IG+by1Hymtvqlep7jSSlo21ovh1f9fmrfKY7PMHG9J0qnJKydpNSs7a3tp/Xy+q/GF5EwtruxRpBYaRcWdlNI6bjGXL30wCtLtMyy24KE/L5XLvuG38Qvj94Zi0P4j6ibSCaO216P7cL+SQlbqaI7p447cgeX9nNwu5xM3m+aDsTaN36zeG2fWNNt7vSoZTp98rxR3BjlR5Nm0XKPbyPJ5KfMnlv5h8wM/A2c/G37b3hb7HffDbWLe2Wytp31vSGtkImKyPDospupJ8RcuYiBAYgRuY+d8vPiSyicMfh6iqxbhUT5U/iaS6J637Ld/iYfHRr0pUqNGXsZx5ZSkm3y2WvNb5eVuh8C6QgkcR7dqAkSTE52FD8uExzuyx++u3HfOR9pfs7aaJ/FWjm6HnaZJHeSSnGJPMtbS4aLZFljKSXbcAV2nbnduyPjPw/KI7mHzE3pcTQrJDnaRHNNcxGTftb/AFfk527fn8wDK7SW+9v2f9J1JPHfw+i0m1mvtW1DWbnS9F0eOM+TftepDAzTXPziFU8xGQNBLv8AmG4da+jwmGqyxNFVIvkc1zW0dtOv9fij5GlUlQxWLVO2jktVfblPV/8AhLNO/wCfC9/8B2/wor9Tf+GGvjF/0Lun/wDgvj/+SKK+o+oYftP/AMC/r+n6GX9o4nvD/wAAj5f5f1pb+YbxH42kutQldSIo44o4kjDZJKlxJKz7VyXGwbdnybPvNnitpl7cXa3U3mlwtlcMqdC0hChEBz1bnnbkYzg1zl7ofmXcwZmVwSyApkS4+9l967NvGThs59ufcfht4Pt737Abq184SzKzRRylsJDkMjNtP+tDjBYDbsOA3b57B4enUhGpJPm30dlfTp8z1qNecqsIvls3ba39bf1pb7P/AGZ/gzqur+E/DVwbaKO31GSe4utSnGIIiWQrDOxYGMx5bY/zebubKIUBb7rvPgXdajZy6Po13dGeKEs1xb25e0nLL8v2Z/tC+Zt2uHwFC7l6545X4CDTNF8J6do83miRLmSXTbcnNttm2+bDcwf8tli2ReUfMQjfJ8vOK/Q3wbp9zFDBeSLHZM0YWIRgSW8gIwxit8J9mKgLu/eSmXcvK+X82VevPD1ocig0mnacVJP4d1p/SR9dhYueGnFbyikvmo/kfj7rHwE1PRjq0+ueI9e0m4CS2drBaieKO9FwxWea4kjlk4svLiKRmMlvtDgSJg7vSPhB8JfC/hi1ml8QazP4/intoIxY7rizktJlFwY5Z7iU3uDmUbFEJ8wxN8ybRX60Xngvw5d7bvWUa+kAn2RRWsaxymbYS0xfz8bCq7Plydz9Mccc3w+svMhTTNDsPsrPMbhgsNtIqkp5O7ZE3nFSJSOV2HOPvVccwrSai4UFfS6pJPps76PT8WYYTKYUa/OlUXtH795N6aPTTT9OU+Y/hT4T0Xwvq0V7DGkkkrzlYrhBOoikwYYWVmwPs4LAMAPN3fcTZz9BaHPqVn4k+1aYtvBcLHcRq6WyhGjvQnmKkYfEWwQgMQzF9/IUqQejsvh5otldTyhjBM4V/LMRcIYtxwjecnDbyDwvQcHIpEtvs08EsBxI0rxKcZ+VSm5+G/2hx9ec4rb285e6+WzsvhXl/l/Wlvdo4KjGpBrnunp7z/rp/WhwHx2itdf0G0imjYy6ewe4hWQ4E5MJDn5FH7wxsduPl2febOR8veIvCWj+MobWDWdFhvitoy2uB5ckTRLGAyzKjY3fJn5SSEHXFfYPjnS2uLS7gjUSiRYpLm9J27CocoiwZbcTlgf3q444OePMNHsII5gGEcgiXyxggF92QWzglCMcDDZz1GOfHqz9njqE3ooyTu/RL+u53V8PGVKcYpttaLfqunU+M7D4Ig6lBdQ+FYPtVrLIltc3WrK0ciEqAstsdOy+wIo+aXjfxycV67p37PNjqN5bX3izw3YNGjLLHBpcwgWZlwSblliYbYjs2qUO4O/3cc/U2n+HtPjAdolDs28Fz5mO52D5QOozzk8HArqHhMKRLHKmza4KrFtxjb38xsjrjheh45ruxGN9pQqQpySnKNo23v7u1tfL5LufPVMkoVpXrUfd0vZuNkuXZ/1+J4Te+GdE0yykTTre00UWlq++FlV47kRBFt4oVCxCB0BkEkg80yb0OwbRu/Mr9uSxiTwJpOrW8kd9Lp2qpfmKN+UMiJFJAGw2zOQxk2nOwAxjgj9V/FrWZSSKR4zM0olUGHzd6xD97ECZF2hvMTnDdACrY4/Jz9s83F5p3hrS9OwYJtZ1dNUt44NgWG5bSPsrt+8bcLXyrjaMKH84gGPHzfHQnjKWZYao5txjVT1V09Laq+/m/kdzoUcHg61KjTiouFrtJyV2lpLdPb7j8xrTSrya+ha1C7ZNPijUk48qVxd3IlwfvbCpTHy5zu3DG2v3F/4Jk+DNN1TxrpXiTxPaNqs+l+Cn1jQLWKcWrafq0bXiC9F15dyZGRoInCeRETkrvAGT+Ndspgv7mNYmZLV7qCMK+0MbOLy0ONrEfaPtRO3nyxBj955mV/cD/gmXPaWEmppPLP8AaofAH2e0McPnEvEdVluMguPLI8+FcZbcRu44FfpOVzeIqUfaW96SvZW6J6H5hmsVhKeKxFHSo4uT5vejd8nT5n6z/wDC2fGv/P8A6j/4Mf8A7nor52/ti99NQ/8AAMf/AB6ivrPq1LtL7/6/p+lvhf7VxfeH/gC/z/q/pb+YfXvDTxNdeWoMqWd1cRnZsErQeV+4L7j5ZkEnD/Pt2n5Dk4+0vgT8MLPWtO8IQ+Frd9Q1y/027v76OZGitZJ4xblrNLvMqLJakuN5TMxmHyR7Pm+ZPGXmWt7dW9xIIo4b97WWMDk4BEKbyfkE5LZBVthQD58/L9a/sKftC+FPA9i3wr+IHiDTNE1C/wBc1G40TU5rCS+1gWwSWX7PY20ZjZ44P9HW5ka9iDCeBtgCEH4XL69BYfGSacvq8HKmk9XZxXzuv6Z+sYelgvbU9JfEvtvtHy82fZfgHRJ9GmsDqUE1peRXU8E2nT25UQmBoxmG5L4kVt2M+RGRtXAYH5fuzwvc+c1rEZDHFPF8rFvMEJiC8Kp2537wTymOOtfJWt+MvBNudC1C/wDFWmXmt+Itk1naR3lmZpLeeZorIm1FyZLaaQRu0iOpdjhc5jJb1zwjr8waXzjtEbLFCpmQuvD7mwm4gY2fKSM8HkDjgrYnDV3f2NRVPsycnyp6br5H22BhhY0nKnzOVk4tybV1y9PK3y/E+s9KmkuY7m2t5oi2F2o8QkM/l7+Ebevlbc88Pu3KeAvII4CIPPVobtWnUwpJw+DGMn5R+AweDjkA58y0vXTYfZbhLj95H5xJHR/M8vGefl2bSP4s7vbl9/4sjELuXc3bsxhccgZxvJABxjKfXnpznKn8cfU7I+9JRdrPTt2/yX9WOk8ReIdK0qOR5GWW5x5Swb9jKXwMmTD7j9EHpx25LQobi61CJ1c3YMc0qWca5um8zacW8QJ8/btG8/IV+Tj5uPPp7O51W6893lvWnbzI1hTef3XLqw8z5c71AJ54PAwK4PxF8TvG3hDVYoPDXgHxDql380L3NjmJ7BU2hZPtRtpPs4m3OduxvMEOdy7MnuW69V+Z0KlCLTV7rzPetWsp5lla9iubeC1ac3VvLGyXDxkJt82MH90yBG8pMyGQsfubBu+evE922k3FtqmnQXKaPdSXCQSS7klke3aDzfMt8EwKhnTy2LOJgzcKU5ta9+0f4i0XSof+Eo0j7XcrHLJHZPLFDfzykR7xf3kdvcFhbHy9im2G/wA2T7nIr5fX4hfFDx14rN5NbRJoWrn5LWIF4rGK1PCKnkxDdIs/zuFTeYwSvy8eRjEpYimns2k+nSJvTV6kE9nJH2voerG/0+1uVkEgfOV3Dcn3eD3yc8ZAxjvXSzX8cVuzSMFYIdoLZyMHdzjOACD0PuK8A0aa7srcIrtFggMvJAZcg4GQBzngZ6fnoajrcxiUPcHCrJk5+7kL2yODj88Z46VTowhOMle6atdtrotV8v60tnXk1WhR05J6S01tZPfp8uxn+MdUIjvbtLgw/ZoLmYN5fnAIoTd/FHg4PX24HGa+CPijPZatG91qMsLWMtvO0OrXarbWcE0oUM1wWMnlGMogjO5vNy3+r2Yb6I8deLyLS9tLSV3d4ZEm2R+dvDzW8IjKjG3cJHOcnOzaAeo/Kr46/EgXPxF8Q+FIdQuLzwl4d05NMu9KiikVZ9QvIVkkumhTzDILHyhvj3Db5wJlG8AcFV3xlNWVnU6Lyj/meHmlT2MJpW5OXW//AG71+eh5XYyRTalqEUirmPVpVjngYXNjerG0nltbXQEYkF3n96PLP2fy1/1wf5f18/YBu00XV/B8t7cSW174zl8YaA2l25Ex0uG10sX9tdS3GV+1ecIZIkg8i1CbmcTPs2H8efA1kpmjBRvskUkEttbhtsM6hpiskIOTbtgjzUPnEkRgkFa/XL9lrTNKtPFXwkSaWXSbq/8AEWryNqrXO+KJZ9JmsljaAxxhRH9tL7vOXftKbV+8v0eAxVWhWoqDjZTVrxv/AFsfA5lDC4jCV1JSu6btadv+fZ+meJv+el5/35/+2UV1X/CvZf8AodrP/vtf/kiivrfr+I7x/wDAf6/p+h+ffUMP2n/4F/X9P0P5QPiRrb3Ws+I0W5aXzvE2oX0UhXYFtIbuaOzRRubIKo7bgQB02nApvwM+IUfw1+NPw++Js3h+Hxld+HNT1B5fCcixs3i6HUIIbc6LEz2d+9k7bA5vYrO9MZ2g2jbgy8H4ovDeO1yJPMG6e2DmMxNIsV1NIJmTc2zeLjaFLP8AcJ3HOAz4U+OpPhT8XPhj8XYdEh8V3Pw58Rf25H4WvLlbKy16P915tjc3bWmopbAmKMpO2nXuzLDyDuzXz+SYXBfV6lSKm6lWDbUqjlFv3X8L7bn1MsXLCyXtG1NWtfTX3d0/8/8AM9j8aX8mqfEPV/ibZeGhofim38Ww+JdO8I6je3tqLaO1mvdRh8HPLIFWNYbdrpl1IabHgRYOl/OPL/bP4X+LLLxP4A8E+PrK4sCnjzSk8QtHYhlitQ5FubEXDSv9sazuYbmEzrDaFvvNbpuAH4V+PviprvxX+I3jf4la9p9lpN9468XXviG30Kz2vD4at7qCa3tdOtpkhtVv1sre4u42uBaaeJ/PU+RDsw335+wB46t9V8Eal8JtaFzG3w1g1HU/BbTWxto59IvLxprrTpZTJJsFvMsUsNwTJ5huHRYUAZyUYwrvE05whyw0jyxUX9nqtep9Hluc1XGKU4811Zcqd9l/X4bH6sabrKyxAMHfAUZYlQM5yVyrBs4HptOOua3Y74ROsgWB0KSRvDLKI2feFCtG/lv/AKvDZULyWHOAK4CyuFuFCRygwQ+WqOE2MzPHG8i43chCyKrlsPy2F7bvn/ZPKuSsUwhDk+YpYKcLjgE5B2/XKjrXl1oRpV6cYXs2t9e3+Z9jgcVVqpSm4393aNt0r/mer+GbWzgs0MKyLerI0onjmO1fNbO3y/KIIG3rvXjPHIrtUN3Ess1wQ8UsEqzSm2eUMcfut5Rk2feYrnduO4jG018myeP/AI1XM93F4J8JaTqFrbGNXmuNQisDiTf5BRZbKbfny5d2HG3C5+8K4vxH4n/ad1a0Wz1S3/4RuAscx6DqdpM14uRvW5c28Xl+SNvkEK2fNl9Od+SpU9yk1GpJ2g2rpPzXU9NzrzXJScVUlpBtJpPzue7N8GtA1/VT4j1fSDd2tsb5p5LK5aKMm4MRiN3HNv8A+eLmBV6fvQcZWsqw0C1tG+zadp9s1layXSxta28Ub2izbNouH81vML+X+7I2EeXJ3NfK974Y+MF88Nsde8W21vqRDT7vEKiKL7OVz+5htwJ/OE7ZDNH5YTgSFyUNR8GeKYcQ3XinXbFrRQIfsWot/pjPjzWuwMCQx7E8sHG3zZOea5q2WYxP6xWqQaprmajFLS0ezf8AXyv6GFwWOjT9vWq0pKn78lGCV9tFZ97/APDHuGu3Nrp0/wBkMkId2mbe8qxk8x5AjAcHbnJw3fuTXmt7d3M7ypDGGjQHexl2DDZC7fkOc7W6Y6cjmuUtPCLKYbnVdavb6SIkxefu3jOPM3uZ23ltsfJUY2nrnIv6ld29rGiGRmysm1BlQY0C+Y8knzBdoK7QVO7ceQOvNOoqUHUltDVnkY/EVYVoyg1zRV17t+kenU4C5vbXTtcSW4e0hsoRPqmsPcMJBDpml7JrmdRswRF5qqylk3eYh3HZivx2j+LUmi/ET4neJtI0/Sdbh8W+JvGY0671OxWWOLS9WXTrfT7i1VvM3G0FrcsOU8zzVwYvLy/6IftKfFi3+GPw58QDTYbRtS8faPq2gQS6hFvlitGW1S7nsZDnORexGZV8vdiH94Oa/HDRfMS3sLct5wgt4Yw4Xy1PzSOSIwX2E7yD8zZ2jk1y0KX1mtCuk3BSUm1stv8AgfPTU+WzbM4zw9eFWUXWlTahb3dfdtp57pdbbo+jvAizI9mHkM0rCSWSQL5cZkd97GOHL+Wh3YCB2AwOew/Tn9mHWZL3xt4T0TU2t105U1K7DSoJZ0mtYYUha1TKFSPtDGQq+SFTqTX5veALViYZSCdkOcY74PGc8Zx1I/Dmv0r/AGR9PL/F74X3hNqhuo/FNtLb3iCRYiINMkicAvGJi3lsuwqmzg7m5WvfwtCDxFFa61I9T4jnlP3ZNtNNP7l/8ij9H82P/Qbl/wDAGf8A+S6K7T+2bn/oG6R/34X/ABor6j2MP733/wDA/q/pbzfYw/vff/wP6v6W/kh1qK6eWRboATiGAyFV2Iz/ALwsRHn5M5+b5z05xxnjQ0kbbk+V4Dwxwc+Z144xt2jjJyDntXq+rwNIZncb3BOWxguuBtXGcDaBnqQc9BXmF78hlO3GGHf73PX8OnevjcvqTw06dOk3yXtaWun9JHVnWHp1HKtLm54K6tJpXtDddTdt7h5YwWGZHhlXcOGUgxgSKecbQxz1zn7wxX3F+wjPJH8f/EHgeS4mls/GXw0mktWuZizPq+juZLe1s/3WYBdi+mNw4dsC3iOyTAx8IaXdAKGMW791LFt3d5tgDfdxlPLzjGW3csMc/Xf7JWu3+h/tT/s8X1ibZV1DxTLo+rLcxiQ3GmzaVeCWNXJXy/mKsSVf7in0Ye3hoRVZpX/fO0/w27bIMpvF0pJu91u32X+fU/bW0lm0u6/s3VXgju9sMzfZZhcQRwMgigXzAiB3BhlEhAGCMYBGa6K5uVZVjWTzIz17buhHGTtxnvnOeOc1btPDsOpwW1vFbRRBkvYYLwyB3eVNV1JlllchMpcCREij3YhEDESSCTCef3Ul14e1qTR9djks3Tc0UrBnimTGcocKDnKlvm+Xcv3s14141MZU9r8NKWltLJcu9t/1PtcLmNejOEbx5Lq94q9lZb/I9DsLwIF8yFDFb8RqTIN2/r80bR42hBjIcYIC4wd2Rqs32lp3t7bcGUuyp9ofykjySxJnGeDnGAflPvWvoMttqNpPKsO9I9mdjBmx8+0hdqk78HgfdAAOc89hp3g+w1NdPuJLuSL7f9pjFvbgNKEj8nzVuMyLtLiRRGSDyr4zjFdNSpQjCTpyaqJXi+br7vb1f9NH1mFxcK0L83vaWa01uunfttY+c77XrqKKCSyiu3ima4igliWVPNmi8pWiIZ5tu0yLtYHoTwTjGBBdX1xeiO8a5t74K73VnPG0uxOsJWUmPcJfnDDy12BV5bOR9ZX+ieHfDqDTdOsynltJIGu2W42TnafNjG1QuSCXXOSQoLDaDXC3g0vzEudQhtrzU55VtEmAW0WVJhhd+BOE+zgLgEt5vmnlCuG8+piKzpyTm2rbN6dP8v60t6P1zEUqUoxn7ttnr209NEeBzLqE7PtBOWZY0PGNnU546kg4wMY5JPI8+8R3k8cM1p5ypJOj2bnaCI7ibElvG8hdfJhkEFx5kxUiPamVYnj1nxdrtpoS3kCRKJo5Z0Ewl+SLGzGz92fMLl+RuXaFHXd8vxD8UdRvW8N+NtSu7m6ijm8K699leC4MDPMI4AJUfaxSWDcvlMASPNbGM15deTq0Z05/DNWdtHa62fQ8fE1ZTTqSs5RStppuuh+bP7SvxVvfjN8SLj7Dqkp8CfD8SeF9IsGs/L3eIbcxR+KyJ/OXz4N1rpBguPJKyhmwEKkt5t4csvOmC8hTsZcrnaE3cAFhn0B457c4ri9FtrhtJtHnneWaYyyyyFTmUSSsVklXcd9w2D9ouN26f5MquwA+veFbUh4SepwpJH97Pv6+v5jg162V040sPyRvaUbO+r2js3rc/P8AMqcatdVJOXNzJ2Uml9np8z6O+H1rKbVDHD5mUDtzjaLfPHQ5Eu/r1XZzv3fL+jH7Onh+Zvin8OL5oJha2y3dxJPE5RLAXMMUbK67SJvO27hl4tohI58zK/Fnw80Mw6fu+0bVaEhj5AZ1WTJLLH5w8zy9vzAFQdw+7X6u/speHhDYavr95uuLKWx0qx0e4NttkkkjGp/bpNu+Qw+VvtPk3N5hc/Mu3LdOS1Z4nMVSqW5YVUo8qs9+rPKxn+z4atWp6TpwvG+qvdLVddz7C/4RbS/+g+f/AABP/wAnUU3Fp6z/APfo/wCNFfoX1al2l9/9f0/S3x/9q4vvD/wBf5/1f0t/LDqNi3lPuXB5x8v0zj5vb/GvH9ZsSfN2nAz/AHSe/b5v519Bat/q/wAH/wDQVrxrWPuy/wDAv51+U4etP21PVfEuh9tjYqrRqOfZbadYr9DkdOjcFISPvBju/wBwjjb759c19M/AG3YfHT4GajudTZeJr5sjKxpmxEe+SbkJtLhlBQltpXI5r5103/j4i+kv/stfU/wP/wCRx8E/9hr/ANoXFe5Tr1YTjJSV019leS/z+/yKymhTvSWtubv2UT9/fA8i3eh6LHLG6LaLeW8+2feL1or+eW3vEmCL5WfOcGLZKMAHzOcDoPFukW/iSyW21LypLm13f2fd+WFlhjfZ5kb4bM5by4drlkC7DlWDHHLfDH/kTPDP/Xvd/wDpQa7HWP8AWQ/V/wD0BK8TF1Z060uW37347rvy7dj6b6tS/vf+BP8Ar/hz5x1bSvEWh6tZahps9yx01blIrGCUw294JRBk3AAkVvK8oeWCj48x+Rk1rwfFuaOW2g8Q2l3YXKLO0UumO37jb5fm+eohUSbz5ew7kC4k4bcSvbXv/H2f+B/0rxLxJ/yEr3/rlJ/WuZVJLr/Wn+X9aW78E/Y1acYX5eZaN3vp/wAA6O7+PPhKOK8xDq2o3Xyo8szsGQpv2lFML43ZO75hjaOTXjetfFKLXniTT7q6hijulnuIJYmif92f3KRTbs/NmXc3l/JheDnA8zf/AI+bv/ro/wDOqA/4+h9R/Om6s2mnaz8j2q9eao1GrXUdNPT/AIP3+R3V7f3mquwuGaS1cyzRox3OrOI9yvLgF921cHYoXBwDuIHzD+0zrD6N8HvEetY2paQS6R9h37CE1qa3gE5uNjH90LbeIjbnzSceZGBk/UFt/qU+g/kK+Pf2yv8AkiXjP/r98P8A/pZJWdr2T2bX5nhYjGV/Y1NY/D/Ku6Pzlt7JLS1ggVhJHbCOyWUJs80xQwzNKU3PsLfaQmzc+BHned2B6n4ThEjRAL90BsdckZ+nPHUn068585b/AFQ/6/H/APSLTq9R8E/6wf8AXL/2Y17uJisFh6EqGjmlzcz5ui27Hzs37aSc+620tt/kj7N+HRSayS48poJLRVEbKpufM3n54jb/ALrf5uwYbedhXlXzx+137PsVrD4S0iwsrdJH1G1huQkqiBYJwrmZHUh9hbevJILEYxxX4yfB7/X6Z/19xf8AobV+0HwS+7H/ALi/+gy1nkEuXN8KraVq8VU13um9O2p5+bUoxy3GSV01SbXXW6PoX+yL7/nws/8AwIT/AON0VYor9c9lT/lf/gT/AK7/ANLX8u5p/wA34Ly/4P3+R//Z"

Request headlines:

Headline Headline description
AllowReturns the HTTP method used in request
Content-LengthShows the size of characters in bytes received in the request
Content-TypeReturns the type of received request
ServerSpecifies the server from which the request comes
Access-Control-Request-MethodReturns the HTTP method that can be used in the request
Access-Control-OriginShows if the server response can be accessed by the code that sends a request from this source
DateShows the time of the request

Response example:

{
 "FaceList": [
 {
 "quality": 0.756927,
 "eyeLeftX": 30.8689,
 "eyeLeftY": 48.5863,
 "eyeRightX": 57.8069,
 "eyeRightY": 48.1852,
 "faceRectLeft": 12,
 "faceRectTop": 32,
 "faceRectWidth": 64,
 "faceRectHeight": 64,
 "ProcessedPersons": 70,
 "ProcessedPersonsDuration": 0,
 "PersonList": [
 {
 "Id": "6C1069EB-1037-E711-9E4B-9C5C8E763A8F",
 "Name": "Hathaway",
 "Surname": "Anne",
 "Patronymic": "",
 "Department": "0",
 "Comment": "",
 "Timestamp": "2017-05-12T12:45:49.279",
 "ImageId": "6E1069EB-1037-E711-9E4B-9C5C8E763A8F",
 "AutoCreated": false,
 "LastRecognitionTimestamp": "2021-06-25T11:17:33.909",
 "RecognitionCount": 177,
 "Sim": "0.54350495338439941"
 }
  ]
 }
 ]
}

Response parameters:

ParameterParameter description
FaceListList of faces
qualityFace image quality (from 0 to 1)
eyeLeftXHorizontal coordinates of the left eye
eyeLeftYVertical coordinates of the left eye
eyeRightXHorizontal coordinates of the right eye
eyeRightYVertical coordinates of the right eye
faceRectLeftFace coordinates relative to the left edge of the frame
faceRectTopFace coordinates relative to the top edge of the frame
faceRectWidthFace width in pixels
faceRectHeightFace height in pixels
ProcessedPersonsNumber of generated vectors
ProcessedPersonsDurationTime spent generating vectors
PersonListA list of users with information from the faces database (see Get information about users from a specified department or the entire face database)
idUser identifier from the faces database
NameName
SurnameLast name
PatronymicPatronymic
DepartmentDepartment
CommentComment
TimestampTime of adding a face to the reference face database in UTC+0 format
ImageIdIdentifier of the reference face image from the face database
AutoCreated

true if the unrecognized face was added automatically

LastRecognitionTimestampTime of the last access in UTC+0 format
RecognitionCountNumber of accesses
SimSimilarity level of the face on the image in the request between the reference face from the face database
  • No labels