Aquaji logs

To Access logs :

Sur Windows : C:\Program Files\Navori\AquajiEdge\logs

Sur Ubuntu (Stix5700) /home/ubuntu/aquaji/logs

Important to know : Each log file is stored and recorded with the corresponding date. However, the file for the current day is named "cam.logs" and will be automatically renamed at the end of the day with the date. The following day, a new "cam.logs" file will be opened

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Here an example of log file :

Important notions to understand in the logs files :

:NEW TEMP EMBEDDING : -33 SIMILARITY : 0.217406 ?

· The algorithm is as follows: o Aquaji detects a face (new embedding) and assigns it a temporary negative ID (here 33). Aquaji compares this embedding with the ones it has in memory and calculates a similarity coefficient between 0 and 1. If the coefficient is higher than the "Face similarity ID", it's the same person; otherwise, it's a new person, and an ID is assigned to them (below 25).

:NEW FACE ID CREATED : 25 ?

Aquaji detects a face and assigns it an ID. In this example, the ID is 25. Thus, thanks to the face detection, the person will not be counted multiple times if they pass in front of the camera again. This also depends on the setting of the continuous presence time, which can be adjusted in the technical profile.

Person removed : face_id = 0

· The algorithm is as follows: An embedding is removed if it has not been detected for a certain period of time defined by the Tracking parameter.

Sending live Feed : {"TotalCount":1,"FemaleRatio":100,"MaleRatio":0,"From0To25Ratio":0,"From25To35Ratio":100,"From35To45Ratio":0,"From45To55Ratio":0,"From55To65Ratio":0,"From65To120Ratio":0}

In this example, it's a real-time counting, and we can observe that it's a woman between the ages of 25 and 35.

:Send SendCameraMessage done : A{"function":"on_person_in", "data": {"face_embedding": [-0.306499, -0.400574, 0.0609378, 0.0566795, 0.828747, -1.0341, 0.577345, -0.705056, 1.03297, -1.212, -0.843341, -0.0164939, -0.140676, -1.18878, 1.06498, 0.0846627, 2.06393, -0.248916, 0.0681484, 0.437818, -0.857322, -1.16519, 1.42582, 0.419998, 0.472213, -0.254767, -0.845489, -0.500347, 0.121914, 0.265024, 0.0810785, -0.400743, 0.289464, 0.137692, -0.302581, -0.0928385, -1.23424, -0.209799, 0.370947, -0.311593, 0.992129, 0.254273, -1.64301, 1.02654, 0.478558, -0.161561, -0.35652, -0.693214, 0.888192, -0.108812, -0.576618, 0.0305448, 0.598662, -0.505893, -0.497644, 0.753575, 0.707715, 0.0293826, 0.954939, 0.15898, 0.200056, 1.22932, 0.687907, -0.130217, 0.6563, -0.116407, 0.263059, 0.152717, -0.455726, -0.407607, 0.433524, -0.710334, -0.461517, -0.784522, -0.463384, 0.32113, 0.0626428, 0.0291353, -1.28554, -0.181016, -0.895617, 0.318953, -0.308743, -1.06729, 0.0228006, -0.468337, 0.600305, 0.124844, -0.353409, 0.520951, -0.0534949, -0.44663, 0.501661, -0.524165, 0.715227, 0.178862, 0.824746, -0.0817896, 0.00508673, -0.122712, -0.333944, 0.434597, 0.290216, 0.0650038, 0.251411, 1.17503, -0.390012, 1.11893, 1.85281, -0.395019, -0.830816, -1.27832, 0.492498, -0.16845, -0.30932, 1.49255, -0.0069297, -0.984222, 1.70472, 0.653419, 0.295647, 0.064731, 0.484717, -0.37259, -0.297444, 0.491874, -0.988663, -0.824942, 0.0415175, -1.10998, 0.0107762, 0.428405, 0.8643, -1.44255, 0.639969, -0.594873, 0.0863617, 1.32108, 0.569596, -0.375451, 0.247161, 1.28036, 0.463585, -0.926684, -0.729058, -0.313451, -0.810965, 1.07843, -1.13951, -0.954737, -0.419952, 0.426741, 1.1793, 0.166579, 0.473704, -1.13437, -0.369716, -0.0844914, -0.127037, 0.419468, 0.257956, 0.132392, -0.708627, 0.722429, 0.128822, -0.504301, 0.0539452, -0.22985, 1.06956, 0.298538, 1.24038, -1.10529, -0.372085, 0.14072, -0.3838, 1.08631, 1.22743, -0.12472, -0.442812, 0.47538, 0.870955, 0.207111, 0.836608, -0.488922, 0.104954, 0.833795, -0.281769, 1.63902, 0.00254366, -0.155957, -0.254216, -0.11267, 1.521, 0.0258021, 0.0468453, 0.922925, -0.804649, -0.920121, -0.649474, 0.31114, 0.335955, -0.280329, -0.350499, 0.269377, -0.333238, -0.154377, -0.248931, -1.01398, 1.35101, 0.0983191, -1.08027, -0.422403, 0.98916, 0.476607, -0.456353, 0.312593, -0.148133, 0.864877, 0.801772, 0.287817, 0.962445, -0.782254, -0.43681, 1.54501, -0.0478716, 0.340875, 0.0414312, -0.312787, -1.01629, -0.95954, -0.381372, -0.957527, 1.14375, -0.0859544, -0.252274, 0.198898, -0.734693, 0.597972, -0.34789, -0.867885, 0.504598, -1.0933, -0.279279, 0.760173, 0.29824, 0.0304473, 1.0061, 1.00121, -0.108454, 0.109827, 0.678109, -0.326041, 0.0650724, -0.146125, 0.550311, -0.105421], "in_time":"2023-08-28

-This is a message sent to the manager to notify other cameras in the same group that a person has entered the camera's field of view.(use type Length of stay)

2023-08-24 14:00:00.1371502 - [DEBUG][edge : 96] :Send Analytics done: [{"Date":"2023-08-24 13:00:00.0000000","CameraId":96,"UseTypeId":1,"Footfall":37,"Female0":1,"Female35":3,"Female45":6,"Male0":3,"Male25":4}]

Every one hour, Aquaji software sends the metrics to the server regarding detections. For instance, in a span of 1 hour we had 37 footfall, 1 female aged 0 to 25, 3 females aged 25 to 35,3 females aged 35 to 45 6 females aged 45 to 55, 3 males aged 0 to 25, and 4 males aged 25 to 35.

Here is the glossary with the vocabulary used in the logs :