{"id":243773,"date":"2025-10-08T13:14:49","date_gmt":"2025-10-08T13:14:49","guid":{"rendered":"https:\/\/technoaware.org\/tface\/"},"modified":"2026-03-26T10:24:33","modified_gmt":"2026-03-26T10:24:33","slug":"tface","status":"publish","type":"page","link":"https:\/\/technoaware.org\/it\/tface\/","title":{"rendered":"TFace"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; disabled_on=&#8221;on|on|off&#8221; admin_label=&#8221;Header&#8221; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#20254a&#8221; background_image=&#8221;https:\/\/technoaware.org\/wp-content\/uploads\/2025\/12\/technoaware-image-3.png&#8221; background_size=&#8221;custom&#8221; background_image_width=&#8221;30%&#8221; background_position=&#8221;center_right&#8221; background_horizontal_offset=&#8221;10%&#8221; height=&#8221;70vh&#8221; custom_padding=&#8221;||||false|false&#8221; da_disable_devices=&#8221;off|off|off&#8221; 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header_font=&#8221;&#8211;et_global_heading_font|500|||||||&#8221; header_text_color=&#8221;gcid-266ba876-53e9-43d2-8326-b935293de15e&#8221; header_2_font=&#8221;|700||on|||||&#8221; header_2_text_color=&#8221;#FFFFFF&#8221; header_2_font_size=&#8221;18px&#8221; animation_direction=&#8221;left&#8221; global_colors_info=&#8221;{%22gcid-266ba876-53e9-43d2-8326-b935293de15e%22:%91%22header_text_color%22%93}&#8221;]<\/p>\n<h1>TFace<\/h1>\n<h2>Video Analisi per Riconoscimento Facciale Biometrico<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;a8c9e944-428a-4f80-aa6b-71bd474e034d&#8221; text_font=&#8221;&#8211;et_global_body_font|500|||||||&#8221; text_text_color=&#8221;#FFFFFF&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p>TFace \u00e8 il software per il riconoscimento biometrico facciale, che integra Video Analisi e Intelligenza Artificiale per la profilazione, l\u2019identificazione, la verifica e l\u2019aggregazione strutturata di 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image=&#8221;https:\/\/technoaware.org\/wp-content\/uploads\/2025\/12\/technoaware-application-areas-business-intelligence.png&#8221; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; header_font=&#8221;||||||||&#8221; header_text_align=&#8221;center&#8221; header_text_color=&#8221;#FFFFFF&#8221; header_font_size=&#8221;22px&#8221; body_text_color=&#8221;#FFFFFF&#8221; body_font_size=&#8221;16px&#8221; border_radii_image=&#8221;on|30px|30px|30px|30px&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul>\n<li>Maggiore sicurezza, protezione e capacit\u00e0 investigative per i siti commerciali.<\/li>\n<li>Analisi e reporting basati sui dati di modelli comportamentali e demografici dei clienti.<\/li>\n<\/ul>\n<p>[\/et_pb_blurb][\/et_pb_column_inner][et_pb_column_inner type=&#8221;1_2&#8243; saved_specialty_column_type=&#8221;2_3&#8243; _builder_version=&#8221;4.27.4&#8243; _module_preset=&#8221;default&#8221; 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{\"outline\":[],\"backgroundColor\":\"#20254a\",\"viewerType\":\"flipbook\",\"autoEnableOutline\":\"false\",\"autoEnableThumbnail\":\"false\",\"overwritePDFOutline\":\"false\",\"enableDownload\":\"true\",\"direction\":\"1\",\"pageSize\":\"0\",\"controlsPosition\":\"bottom\",\"source\":\"https:\\\/\\\/technoaware.org\\\/wp-content\\\/uploads\\\/2026\\\/03\\\/TechnoAware-Tface-SpecificheProdotti.pdf\",\"wpOptions\":\"true\"}; if(window.DFLIP && window.DFLIP.parseBooks){window.DFLIP.parseBooks();}<\/script>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.27.5&#8243; _module_preset=&#8221;16180a2f-ee9e-45e2-930f-b0ee19f14df4&#8243; header_font=&#8221;&#8211;et_global_heading_font|500|||||||&#8221; header_text_align=&#8221;center&#8221; header_text_color=&#8221;#FFFFFF&#8221; header_2_font=&#8221;|700||on|||||&#8221; header_2_text_align=&#8221;center&#8221; header_2_text_color=&#8221;#FFFFFF&#8221; header_2_font_size=&#8221;15px&#8221; min_height=&#8221;13.8px&#8221; animation_style=&#8221;slide&#8221; header_font_size_phone=&#8221;7vw&#8221; header_2_font_size_tablet=&#8221;2vw&#8221; header_2_font_size_phone=&#8221;3vw&#8221; header_2_font_size_last_edited=&#8221;on|phone&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h1>Specifiche<\/h1>\n<p>[\/et_pb_text][et_pb_toggle title=&#8221;Specifiche Tecniche&#8221; open_toggle_text_color=&#8221;gcid-primary-color&#8221; open_toggle_background_color=&#8221;#FFFFFF&#8221; closed_toggle_background_color=&#8221;gcid-primary-color&#8221; icon_color=&#8221;gcid-266ba876-53e9-43d2-8326-b935293de15e&#8221; toggle_icon=&#8221;&#x37;||divi||400&#8243; use_icon_font_size=&#8221;on&#8221; icon_font_size=&#8221;22px&#8221; open_icon_color=&#8221;gcid-266ba876-53e9-43d2-8326-b935293de15e&#8221; open_toggle_icon=&#8221;&#x36;||divi||400&#8243; open_use_icon_font_size=&#8221;on&#8221; open_icon_font_size=&#8221;22px&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; title_text_color=&#8221;#FFFFFF&#8221; title_font=&#8221;||||||||&#8221; title_font_size=&#8221;22px&#8221; body_font=&#8221;||||||||&#8221; body_text_color=&#8221;gcid-body-color&#8221; body_font_size=&#8221;16px&#8221; border_radii=&#8221;on|20px|20px|20px|20px&#8221; global_colors_info=&#8221;{%22gcid-primary-color%22:%91%22closed_toggle_background_color%22,%22open_toggle_text_color%22%93,%22gcid-266ba876-53e9-43d2-8326-b935293de15e%22:%91%22icon_color%22,%22open_icon_color%22%93,%22gcid-body-color%22:%91%22body_text_color%22%93}&#8221;]Functional features<\/p>\n<p>\u2022 Enrolment of the Identities Database by:<br \/>\no real time acquisition from camera or video streaming devices<br \/>\no manual entry of images or off-line videos<br \/>\no importing of face images and data coming from external databases (i.e. police mugshots,<br \/>\npersonnel archives, \u2026), by custom project<br \/>\n\u2022 Ability to create and manage unlimited groups of identities (white, black, stolen, employees,<br \/>\nauthorized, \u2026), among the ones enrolled in the Identities Database<br \/>\n\u2022 Ability to configure real time alarm notifications in case of:<br \/>\no Person recognized among a configured group of persons enrolled in the Identities Database<br \/>\no Person recognized, but not present in any of the configured group of identities<br \/>\no Person unknown, not recognized as anyone among the ones enrolled in the Identities<br \/>\nDatabase<br \/>\n\u2022 Ability to create and manage a Transits Database, for the storage of the cropped image and the<br \/>\nrelative biometric template of all the faces passed by the cameras processed in real time<br \/>\n\u2022 Ability to make forensic queries for:<br \/>\no comparing a face image in input (a jpg image uploaded manually, or a picture enrolled in the<br \/>\nIdentities Database, or a picture stored in the Transits Database) with all the identities<br \/>\nenrolled in the Identities Database, receiving as output a straight match or the first \u201cn\u201d most<br \/>\nlikely matches<br \/>\no comparing a face image in input (a manually uploaded jpg, a picture enrolled in the Identities<br \/>\nDatabase, a picture stored in the Transits Database) with all the ones stored in the Transits<br \/>\nDatabase, receiving as output all the images, relative camera and time stamps related to the<br \/>\nfaces matching the comparison, according to a certain level of confidence configurable by<br \/>\nthe user<br \/>\n\u2022 DwellTime function, for the storage of the time between the identification and match of a same<br \/>\nface along 2 correlated active areas<br \/>\n\u2022 Ability to provide, for each detected face, the estimation of the relative gender and age<\/p>\n<p>Technical specifications<\/p>\n<p>\u2022 Modular, scalable and hardware-independent software architecture, available for Windows o.s.<br \/>\n\u2022 Acquisition from:<br \/>\no IP cameras (optical or thermal), through standard protocols RTSP with encoding formats<br \/>\nMjpeg, mpeg2, mpeg4, h264, h265<br \/>\no analogue cameras (optical or thermal), through video encoders or hybrid NVR\/DVR<br \/>\ncompatible with standard protocols RTSP with encoding formats Mjpeg, mpeg2, mpeg4,<br \/>\nh264, h265<br \/>\no compatible VMS\/DVR\/NVR platforms<br \/>\no video footages, exported in all standard formats (avi, mkv, asf, mpg, mov, \u2026)<br \/>\no single images, in jpeg format<br \/>\no USB or integrated web cams<br \/>\no thermographic sensors, through Genicam protocol<br \/>\n\u2022 Automatic and real time notifications through::<br \/>\no TechnoAware-CentralManager client, local or remote<br \/>\no compatible VMS\/DVR\/NVR platforms<br \/>\no I\/O contacts, through Modbus protocol<br \/>\no http or TCP network sender, customizable<br \/>\no e-mail, with in attachment the image related to the generated alarm<br \/>\no FTP client, saving the video clip related to the generated alarm<br \/>\no configured Telegram accounts<br \/>\n\u2022 Real time or off-line fruition of the processed faces identification data through:<br \/>\no TechnoAware-CentralManager client, local or remote<br \/>\no VTrack WebInterface<br \/>\no API based on cgi call, for receiving automatically an xml file through http with the required<br \/>\ndata<br \/>\no compatible third-party platforms<br \/>\no automatic periodical report in pdf format, customizable by project<br \/>\n\u2022 Enabling\/disabling of configurations, functions and\/or single rules by:<br \/>\no an interrupt from an external input, through cgi call<br \/>\no time scheduling, by timetabled configuration<br \/>\no manual command, through VTrack-CentralManager client<br \/>\no polling the status of an external I\/O through network protocols, such as http, TCP, Modbus<br \/>\n\u2022 Built-in database for the storage of the processed events and data<br \/>\n\u2022 API for streaming out the real time processed video and\/or metadata flow, for being acquired by<br \/>\ncompatible third-party platforms<br \/>\n\u2022 Ability to manage redundant hardware architectures, by active FailOver function (both cases n:n<br \/>\nor n:1)<br \/>\n\u2022 Ability to work in virtualized environments<\/p>\n<p>Configuration features<\/p>\n<p>\u2022 Ability to configure unlimited independent active rules, by drawing in the image virtual polygonal<br \/>\nareas or lines of any shape and size<br \/>\n\u2022 Unlimited identities enrollable in the Identity Database<br \/>\n\u2022 For each enrolled identity, ability to add unlimited relative face templates<br \/>\n\u2022 Ability to detect and recognize multiple faces present in the provided images at the same time<br \/>\n\u2022 Identity data editing by:<br \/>\no Manual entry<br \/>\no Data import from external databases, by custom project<br \/>\n\u2022 Ability to filter the detection of target faces not complying a certain minimum quality<br \/>\nconfigurable by the user<br \/>\n\u2022 Ability to filter the detection of target faces not complying a minimum and\/or a maximum size<br \/>\nconfigurable by the user<br \/>\n\u2022 Ability to configure a parameter of confidence time for confirming the detection and\/or the<br \/>\nrecognition of each target face<br \/>\n\u2022 Unlimited configurable no-processing areas, to inhibit not-of-interest areas in the image<br \/>\n\u2022 Ability to process the acquired video stream at a lower resolution and frame rate<br \/>\n\u2022 Ability to crop and process independently unlimited image portions of the acquired video flow<br \/>\n\u2022 Ability to set up and activate unlimited configurations of cameras and parameters, according to:<br \/>\no planned timetable<br \/>\no manual trigger<br \/>\no time-based trigger<br \/>\no time duration trigger<br \/>\n\u2022 Ability to import\/export configurations previously set up<br \/>\n\u2022 Ability to manage different configurations for different configured presets of a PTZ camera<br \/>\n\u2022 Ability to process not-fixed cameras moving along a scenario<br \/>\n\u2022 Enabling\/disabling of the modules by:<br \/>\no an interrupt from an external input, through cgi call<br \/>\no time scheduling, by timetabled configuration<br \/>\no manual command, through VTrack-CentralManager client<br \/>\no polling the status of an external I\/O, through http or TCP call<br \/>\n\u2022 Ability to configure different user profiles, allowing to enable or to inhibit the access to the<br \/>\nconfiguration of the modules<\/p>\n<p>Additional built-in diagnostic functions<\/p>\n<p>\u2022 Tampering module, for configuring and triggering an alarm on detection of camera obscured,<br \/>\ndazzled or moved for longer than a configured time<br \/>\n\u2022 QualityCam module, for configuring and triggering an alarm on camera\u2019s reduction of visibility<br \/>\n(i.e. because of dirt, or defocusing) and\/or misalignment<br \/>\n\u2022 VideoLoss function, to trigger an alarm notification in case of a loss of communication with a<br \/>\nvideo source<br \/>\n\u2022 Watchdog function, for the automatic restart of the module in case of critical error or eventual<br \/>\nrestart of the hardware unit<br \/>\n\u2022 HeartBeat function, for the periodical notification of the correct working of the module to an<br \/>\nexternal device<br \/>\n\u2022 CheckConfig function, for checking by a html\/xml request the status of the active configuration<br \/>\n\u2022 Writing and storing of log files for each main process of the module<br \/>\n\u2022 Monitor Client, for configuring automatic notifications in case of misfunctioning events of the<br \/>\nconnected VTrack modules[\/et_pb_toggle][et_pb_toggle title=&#8221;Requisiti Tecnici&#8221; open_toggle_text_color=&#8221;gcid-primary-color&#8221; open_toggle_background_color=&#8221;#FFFFFF&#8221; closed_toggle_background_color=&#8221;gcid-primary-color&#8221; icon_color=&#8221;gcid-266ba876-53e9-43d2-8326-b935293de15e&#8221; toggle_icon=&#8221;&#x37;||divi||400&#8243; use_icon_font_size=&#8221;on&#8221; icon_font_size=&#8221;22px&#8221; open_icon_color=&#8221;gcid-266ba876-53e9-43d2-8326-b935293de15e&#8221; open_toggle_icon=&#8221;&#x36;||divi||400&#8243; open_use_icon_font_size=&#8221;on&#8221; open_icon_font_size=&#8221;22px&#8221; _builder_version=&#8221;4.27.6&#8243; _module_preset=&#8221;default&#8221; title_text_color=&#8221;#FFFFFF&#8221; title_font=&#8221;||||||||&#8221; title_font_size=&#8221;22px&#8221; body_font=&#8221;||||||||&#8221; body_text_color=&#8221;gcid-body-color&#8221; body_font_size=&#8221;16px&#8221; border_radii=&#8221;on|20px|20px|20px|20px&#8221; global_colors_info=&#8221;{%22gcid-primary-color%22:%91%22closed_toggle_background_color%22,%22open_toggle_text_color%22,%22closed_toggle_background_color%22,%22open_toggle_text_color%22%93,%22gcid-266ba876-53e9-43d2-8326-b935293de15e%22:%91%22icon_color%22,%22open_icon_color%22,%22icon_color%22,%22open_icon_color%22%93,%22gcid-body-color%22:%91%22body_text_color%22,%22body_text_color%22%93}&#8221;]Image and video streaming requirements<\/p>\n<p>\u2022 Conditions of the target faces in the image for maximizing the detection and the identification<br \/>\nperformances:<br \/>\no clearly visible to the naked eye in the image, even in difficult environmental conditions<br \/>\n(night, heavy rain, snow, fog, sun glare, reflections, artificial lights, under\/overexposed<br \/>\ncamera, obstacles, \u2026)<br \/>\no with such a resolution in order to guarantee at least 80 pixels between the centers of the<br \/>\neyes, at the point where the face is meant to be identified in the image<br \/>\no with an angle of radial inclination in respect with the camera not larger than 20\u00b0-25\u00b0<br \/>\no with an angle of tilt inclination in respect with the camera not larger than 20\u00b0-25\u00b0<br \/>\no entirely visible in the image in the above indicated conditions for at least 10-15 continuous<br \/>\nframes<br \/>\n\u2022 Frame rate: such as to ensure good visibility of the target face for at least 10-15 continuous<br \/>\nframes<br \/>\n\u2022 Streaming compression rate: it should be as low as possible, or even zeroed off<\/p>\n<p>Processing requirements<\/p>\n<p>\u2022 Computational need (*):<br \/>\no CPU: considering, as reference, a single core with 3.2GHz base speed,<br \/>\n&#8211; for video processing:<br \/>\n\uf0fc up to 3 video streams in parallel processing video flows in VGA resolution (640&#215;480)<br \/>\nat 8 frames per second<br \/>\n\uf0fc up to 2 functions in parallel processing video flows in 4CIF resolution (704&#215;576) at 8<br \/>\nframes per second<br \/>\n\uf0fc up to 2 functions in parallel processing video flows in 800&#215;600 resolution at 6 frames<br \/>\nper second<br \/>\n\uf0fc up to 1 function processing video flows in HD (720p) resolution (1280&#215;720) at 15<br \/>\nframes per second<br \/>\n\uf0fc up to 1 function processing video flows in FullHD (1080p) resolution (1920&#215;1080) at<br \/>\n8 frames per second<br \/>\n&#8211; for templates comparisons:<br \/>\n\uf0fc about 200k comparisons\/second, with a single core 3,2GHz<br \/>\no GPU: NVIDIA CUDA compatible, according to the always up-to-date page<br \/>\nhttps:\/\/en.wikipedia.org\/wiki\/CUDA#GPUs_supported<br \/>\no RAM: 12kB per enrolled template<br \/>\n\u2022 Supported OS: Windows, from 10 onwards<br \/>\n(*) These values should be considered as a purely indicative and generic reference and may vary according to the<br \/>\ncomplexity of the environment, the number and kind of targets, the specific function configured and the typology of<br \/>\nhardware used. TechnoAware strongly suggests to always contact anyway its technical support team for doublechecking and validating for free the hardware meant to be used, for each project, before purchasing it.[\/et_pb_toggle][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>TFace Video Analisi per Riconoscimento Facciale BiometricoTFace \u00e8 il software per il riconoscimento biometrico facciale, che integra Video Analisi e Intelligenza Artificiale per la profilazione, l\u2019identificazione, la verifica e l\u2019aggregazione strutturata di volti in transito all\u2019interno di aree virtuali.Progettato sia per applicazioni in tempo reale sia per analisi forense, in contesti di controllo accessi come [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"class_list":["post-243773","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.2 - 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