{"id":66657,"date":"2021-06-23T16:23:14","date_gmt":"2021-06-23T14:23:14","guid":{"rendered":"http:\/\/www.prophesee.ai\/?p=66657"},"modified":"2023-01-20T20:39:02","modified_gmt":"2023-01-20T12:39:02","slug":"robotics-touch-event-based-vision","status":"publish","type":"page","link":"https:\/\/www.prophesee-cn.com\/en\/robotics-touch-event-based-vision\/","title":{"rendered":"Neuromorphic Vision and Touch Combined For Enhanced Robotics Capabilities"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; background_color=&#8221;#1E2534&#8243; custom_padding=&#8221;0px||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;\/wp-content\/uploads\/2021\/10\/Prophesee_Inventors_NUS_White.svg&#8221; 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_builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; background_enable_color=&#8221;off&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_stops=&#8221;rgba(228,226,219,0.97) 0%|#e4e2db 100%&#8221; background_color_gradient_overlays_image=&#8221;on&#8221; background_color_gradient_start=&#8221;rgba(228,226,219,0.97)&#8221; background_color_gradient_end=&#8221;#e4e2db&#8221; background_image=&#8221;\/wp-content\/uploads\/2021\/05\/HandTouch_A_Web.jpg&#8221; custom_padding=&#8221;||10px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; inline_fonts=&#8221;Montserrat&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2 style=\"text-align: center;\"><strong><span style=\"font-family: Montserrat;\">BUILDING INTELLIGENT, POWER EFFICIENT ROBOTS BY COMBINING THE HIGH PERFORMANCE OF EVENT-BASED VISION WITH TOUCH<\/span><\/strong><\/h2>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;||||||||&#8221; text_font_size=&#8221;16px&#8221; custom_padding=&#8221;||0px|||&#8221; inline_fonts=&#8221;Montserrat&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span style=\"font-family: Montserrat; font-weight: normal; font-size: medium;\">Researchers at t<span>he <a href=\"https:\/\/clear-nus.github.io\/\" target=\"_blank\" rel=\"noopener\">Collaborative, Learning, and Adaptive Robots (CLeAR) Lab<\/a><\/span><\/span><span style=\"font-family: Montserrat; font-weight: normal; font-size: medium;\"><span> and <a href=\"https:\/\/www.benjamintee.com\/\" target=\"_blank\" rel=\"noopener\">TEE Research Group<\/a> at <\/span><a href=\"https:\/\/nus.edu.sg\/\" target=\"_blank\" rel=\"noopener\">National University of Singapore<\/a> are taking advantage of the benefits of Event-Based Vision, in combination with touch, to build <strong>new visual-tactile datasets<\/strong> for the development of <strong>better learning systems<\/strong> in robotics. The neuromorphic sensor fusion of touch and vision is being used to <strong>help robots grip and identify objects<\/strong>. <\/span><\/p>\n<p><span style=\"font-family: Montserrat; font-weight: normal; font-size: medium;\">Their <a href=\"https:\/\/arxiv.org\/pdf\/2009.07083.pdf\" target=\"_blank\" rel=\"noopener\">research<\/a> work on &#8216;electronic skin&#8217; includes Prophesee&#8217;s <a href=\"https:\/\/www.prophesee.ai\/buy-event-based-products\/\" target=\"_blank\" rel=\"noopener\">Metavision<\/a> Event-Based Vision sensor, and demonstrates how <strong>touch and vision can be combined for enhanced capabilities in robotics<\/strong>.<\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;0px||0px||false|false&#8221; custom_padding=&#8221;0px||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row 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\n\t\t\t\t\t\t\t\t\tdata-type=\"text\"\n\t\t\t\t\t\t\t\t\tdata-color=\"#1e2534\"\n\t\t\t\t\t\t\t\t\tdata-xy=\"x:c;yo:54px,54px,54px,48px;\"\n\t\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\t\tdata-text=\"s:40,30,30,20;l:33,33,33,29;fw:700;a:center;\"\n\t\t\t\t\t\t\t\t\tdata-rsp_o=\"off\"\n\t\t\t\t\t\t\t\t\tdata-rsp_bd=\"off\"\n\t\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;\"\n\t\t\t\t\t\t\t\t\tstyle=\"z-index:9;font-family:'Montserrat';\"\n\t\t\t\t\t\t\t\t>1000x \n\t\t\t\t\t\t\t\t<\/rs-layer><!--\n\n\t\t\t\t\t\t\t\t--><rs-layer\n\t\t\t\t\t\t\t\t\tid=\"slider-51-slide-86-layer-4\" \n\t\t\t\t\t\t\t\t\tdata-type=\"text\"\n\t\t\t\t\t\t\t\t\tdata-color=\"#407ec9\"\n\t\t\t\t\t\t\t\t\tdata-xy=\"x:c;y:m;yo:18px,18px,18px,23px;\"\n\t\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\t\tdata-text=\"l:33,33,33,29;fw:700;a:center;\"\n\t\t\t\t\t\t\t\t\tdata-rsp_o=\"off\"\n\t\t\t\t\t\t\t\t\tdata-rsp_bd=\"off\"\n\t\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;\"\n\t\t\t\t\t\t\t\t\tstyle=\"z-index:8;font-family:'Montserrat';\"\n\t\t\t\t\t\t\t\t>faster than human touch \n\t\t\t\t\t\t\t\t<\/rs-layer><!--\n\t\t\t\t\t\t\t--><\/rs-group><!--\n\n\t\t\t\t\t\t\t--><rs-group\n\t\t\t\t\t\t\t\tid=\"slider-51-slide-86-layer-24\" \n\t\t\t\t\t\t\t\tdata-type=\"group\"\n\t\t\t\t\t\t\t\tdata-xy=\"x:r,r,l,c;xo:180px,150px,52px,0;y:t,t,b,t;yo:27px,30px,60px,341px;\"\n\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\tdata-text=\"w:normal;\"\n\t\t\t\t\t\t\t\tdata-dim=\"w:296,296,296,100%;h:177,177,177,140px;\"\n\t\t\t\t\t\t\t\tdata-rsp_o=\"off\"\n\t\t\t\t\t\t\t\tdata-rsp_bd=\"off\"\n\t\t\t\t\t\t\t\tdata-frame_0=\"o:1;\"\n\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;sA:9000;\"\n\t\t\t\t\t\t\t\tstyle=\"z-index:13;\"\n\t\t\t\t\t\t\t><!--\n\t\t\t\t\t\t\t\t--><rs-layer\n\t\t\t\t\t\t\t\t\tid=\"slider-51-slide-86-layer-25\" \n\t\t\t\t\t\t\t\t\tdata-type=\"text\"\n\t\t\t\t\t\t\t\t\tdata-color=\"#1e2534\"\n\t\t\t\t\t\t\t\t\tdata-xy=\"x:c;yo:54px,54px,54px,48px;\"\n\t\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\t\tdata-text=\"s:40,30,30,20;l:33,33,33,29;fw:700;a:center;\"\n\t\t\t\t\t\t\t\t\tdata-rsp_o=\"off\"\n\t\t\t\t\t\t\t\t\tdata-rsp_bd=\"off\"\n\t\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;\"\n\t\t\t\t\t\t\t\t\tstyle=\"z-index:12;font-family:'Montserrat';\"\n\t\t\t\t\t\t\t\t>Can restore <br\/>sense of touch \n\t\t\t\t\t\t\t\t<\/rs-layer><!--\n\n\t\t\t\t\t\t\t\t--><rs-layer\n\t\t\t\t\t\t\t\t\tid=\"slider-51-slide-86-layer-26\" 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false;window.revapi51 = undefined;if (window.RS_MODULES.checkMinimal!==undefined) window.RS_MODULES.checkMinimal()}\n\t\t\t\t<\/script>\n\t\t\t<\/rs-module-wrap>\n\t\t\t<!-- END REVOLUTION SLIDER -->\n[\/et_pb_code][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; background_enable_color=&#8221;off&#8221; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_type=&#8221;circular&#8221; background_color_gradient_stops=&#8221;#e4e2db 0%|#e4e2db 100%&#8221; background_color_gradient_overlays_image=&#8221;on&#8221; background_color_gradient_start=&#8221;#e4e2db&#8221; background_color_gradient_end=&#8221;#e4e2db&#8221; background_image=&#8221;\/wp-content\/uploads\/2021\/05\/HandTouch_A_Web.jpg&#8221; custom_margin=&#8221;0px||0px||false|false&#8221; custom_padding=&#8221;15px||15px||true|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row column_structure=&#8221;1_2,1_2&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_text _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;||||||||&#8221; text_font_size=&#8221;16px&#8221; custom_margin=&#8221;0px||0px||false|false&#8221; custom_padding=&#8221;30px||30px||true|false&#8221; inline_fonts=&#8221;Montserrat&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span style=\"font-family: Montserrat; font-weight: normal; font-size: medium;\">According to report by <a href=\"https:\/\/www.eetimes.com\/neuromorphic-sensor-fusion-lets-robots-grip-identify-objects\/\" target=\"_blank\" rel=\"noopener\">EETimes<\/a>, the new tactile sensor they used, <strong>NeuTouch<\/strong>, consists of <strong>an array of 39 taxels<\/strong> (tactile pixels) and the movement is transduced using a <strong>graphene-based piezo-resistive layer<\/strong>; you can think of this as the front of the robot\u2019s fingertip. <\/span><\/p>\n<p><span style=\"font-family: Montserrat; font-weight: normal; font-size: medium;\">It\u2019s covered with a protective Ecoflex layer that helps to amplify the stimuli, and is supported by 3-D printed \u201cbone\u201d. The fingertips can then be added to grippers.<\/span><\/p>\n<p><span style=\"font-family: Montserrat; font-weight: normal; font-size: medium;\"><span style=\"font-family: Montserrat;\">Similar to how <strong>the independent pixels in Prophesee\u2019s Metavision sensor collect data from changes in the environment<\/strong>, <strong>the NeuTouch fingertips process tactile spikes<\/strong>. The use of neuromorphic technology results in <strong>high performance and low power consumption<\/strong>, allowing automation systems to touch and see.<\/span><\/span><span style=\"font-family: Montserrat; font-weight: normal; font-size: medium;\"><\/span><\/p>\n<p><span style=\"font-family: Montserrat; font-weight: normal; font-size: medium;\"><\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;\/wp-content\/uploads\/2021\/10\/NeuTouch.png&#8221; title_text=&#8221;NeuTouch&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; width=&#8221;90%&#8221; module_alignment=&#8221;center&#8221; custom_margin=&#8221;10px||3px||false|false&#8221; custom_margin_tablet=&#8221;&#8221; custom_margin_phone=&#8221;&#8221; custom_margin_last_edited=&#8221;on|phone&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_image][et_pb_text content_tablet=&#8221;<\/p>\n<p style=%22text-align: left;%22>(A) NeuTouch compared to a human finger.<\/p>\n<p style=%22text-align: left;%22>(B) Cross-sectional view of NeuTouch and constituent components.<\/p>\n<p style=%22text-align: left;%22>(C) Spatial distribution of the 39 taxels on NeuTouch.<\/p>\n<p>&#8221; content_phone=&#8221;<\/p>\n<p style=%22text-align: left;%22>(A) NeuTouch compared to a human finger.<\/p>\n<p style=%22text-align: left;%22>(B) Cross-sectional view of NeuTouch and constituent components.<\/p>\n<p style=%22text-align: left;%22>(C) Spatial distribution of the 39 taxels on NeuTouch.<\/p>\n<p>&#8221; content_last_edited=&#8221;on|phone&#8221; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; text_font=&#8221;Montserrat||||||||&#8221; text_line_height=&#8221;1em&#8221; custom_margin=&#8221;0px||||false|false&#8221; custom_padding=&#8221;0px|10px|0px|30px|false|false&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p style=\"text-align: left;\">(A) NeuTouch compared to a human finger.<\/p>\n<p style=\"text-align: left;\">(B) Cross-sectional view of NeuTouch and constituent components.<\/p>\n<p style=\"text-align: left;\">(C) Spatial distribution of the 39 taxels on NeuTouch.<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Video Section&#8221; _builder_version=&#8221;4.16&#8243; use_background_color_gradient=&#8221;on&#8221; background_color_gradient_stops=&#8221;#e4e2db 65%|#1e2534 65%&#8221; background_color_gradient_start=&#8221;#e4e2db&#8221; background_color_gradient_start_position=&#8221;65%&#8221; background_color_gradient_end=&#8221;#1e2534&#8243; background_color_gradient_end_position=&#8221;65%&#8221; custom_margin=&#8221;0px||-1px||false|false&#8221; custom_padding=&#8221;|||&#8221; border_color_all=&#8221;#E4E2DB&#8221; 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text_text_color=&#8221;#ffffff&#8221; text_font_size=&#8221;16px&#8221; header_font=&#8221;||||||||&#8221; text_orientation=&#8221;center&#8221; module_alignment=&#8221;center&#8221; custom_margin=&#8221;20px||20px||false|false&#8221; custom_margin_tablet=&#8221;&#8221; custom_margin_phone=&#8221;&#8221; custom_margin_last_edited=&#8221;on|desktop&#8221; animation_direction=&#8221;bottom&#8221; inline_fonts=&#8221;Montserrat&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p style=\"text-align: left;\"><span style=\"font-family: Montserrat;\">This training is further being applied to what they call a slip test. The goal of the slip test is to have the robot determine the amount of pressure that is not quite enough to grip the object securely. The goal of the test would be to <strong>improve machine reaction time and prevent dropping<\/strong> and the fallout of such accidents.<\/span><\/p>\n<p style=\"text-align: left;\"><span style=\"font-family: Montserrat;\">This research demonstrates <strong>how the sensors are collecting relevant information, as well as combining the information at the same time, mimicking the human brain process.<\/strong> Benjamin Tee, Harold Soh and their colleagues have made the datasets available to other researchers to aid the development of intelligent power-efficient robot systems.<\/span><\/p>\n<p style=\"text-align: left;\"><span style=\"font-family: Montserrat;\"><\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_image src=&#8221;\/wp-content\/uploads\/2021\/07\/Capture1.jpg&#8221; alt=&#8221;Robotic Arm&#8221; title_text=&#8221;Capture1&#8243; 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global_colors_info=&#8221;{}&#8221;]<\/p>\n<h2><span style=\"color: #ffffff;\"><b>ABOUT NATIONAL UNIVERSITY OF SINGAPORE<\/b><\/span><\/h2>\n<p><span style=\"color: #ffffff;\"><b><\/b><\/span><\/p>\n<p><span style=\"color: #ffffff;\">The National University of Singapore (NUS) has nurtured generations of talent since their founding in 1905. Their 17 faculties across three campuses in Singapore and 12 NUS Overseas Colleges around the world provide a thriving environment for a diverse community of about 55,000 students and staff to work, live and learn together. They pioneer innovative academic programmes, influential research and visionary enterprises to improve lives and contribute to society.<\/span><\/p>\n<p><span style=\"color: #ffffff;\">The\u00a0<span style=\"color: #e4e2db;\"><a href=\"https:\/\/clear-nus.github.io\/\" target=\"_blank\" rel=\"noopener\" style=\"color: #e4e2db;\"><strong><span style=\"color: #ff8f6c;\">C<\/span><\/strong><span style=\"color: #ff8f6c;\">ollaborative,\u00a0<strong>Le<\/strong>arning, and\u00a0<strong>A<\/strong>daptive\u00a0<strong>R<\/strong>obots (<strong>CLeAR<\/strong>) Lab<\/span><\/a><\/span> at NUS investigates the science and engineering of human-AI\/robot teams. They conduct human-robot-interaction (HRI) experiments and develop novel machine-learning (ML) methods that enable robots to work with people.<\/span><\/p>\n<p><span style=\"color: #ffffff;\">The <a href=\"https:\/\/www.benjamintee.com\/\" target=\"_blank\" rel=\"noopener\" style=\"color: #ffffff;\"><span style=\"color: #ff8f6c;\">TEE Research Group<\/span><\/a> at NUS is developing new materials, devices and systems for addressing the challenges in human-machine interactions, robotics and biotechnology applications for the AI future.<br \/><\/span><\/p>\n<p><span style=\"color: #ffffff;\"><\/span><\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.16&#8243; custom_padding=&#8221;20px||20px||true|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_button button_url=&#8221;https:\/\/www.nus.edu.sg\/&#8221; url_new_window=&#8221;on&#8221; 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value=\"ZCFORMVIEW\"><!-- [et_pb_line_break_holder] -->\t\t\t\t\t<input type=\"hidden\" id=\"zc_formIx\" name=\"zc_formIx\" value=\"3zfd2594550b67d5fbbcebe5d102db3a576b67b89b00d7c937c9325da01f890bca\"><!-- [et_pb_line_break_holder] -->\t\t\t\t\t<input type=\"hidden\" id=\"viewFrom\" value=\"URL_ACTION\"><!-- [et_pb_line_break_holder] -->\t\t\t\t\t<span style=\"display: none\" id=\"dt_CONTACT_EMAIL\">1,true,6,Contact Email,2<\/span><!-- [et_pb_line_break_holder] -->\t\t\t\t<\/form>\n<p><!-- [et_pb_line_break_holder] -->\t\t\t<\/div>\n<p><!-- [et_pb_line_break_holder] -->\t\t<\/div>\n<p><!-- [et_pb_line_break_holder] -->\t<\/div>\n<p><!-- [et_pb_line_break_holder] -->\t<img decoding=\"async\" src=\"https:\/\/proh.maillist-manage.com\/images\/spacer.gif\" id=\"refImage\" onload=\"referenceSetter(this)\" style=\"display:none;\"><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><input type=\"hidden\" id=\"signupFormType\" value=\"QuickForm_Horizontal\"><!-- 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[et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><!--Zoho Campaigns Web-Optin Form Ends Here-->[\/et_pb_code][\/et_pb_column][et_pb_column type=&#8221;1_2&#8243; _builder_version=&#8221;4.16&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_social_media_follow use_icon_font_size=&#8221;on&#8221; _builder_version=&#8221;4.16&#8243; text_orientation=&#8221;center&#8221; custom_margin=&#8221;14px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_social_media_follow_network social_network=&#8221;twitter&#8221; url=&#8221;https:\/\/twitter.com\/prophesee_ai?lang=en&#8221; use_icon_font_size=&#8221;on&#8221; icon_font_size=&#8221;30px&#8221; _builder_version=&#8221;4.16&#8243; background_color=&#8221;#00aced&#8221; global_colors_info=&#8221;{}&#8221; follow_button=&#8221;off&#8221; url_new_window=&#8221;on&#8221;]twitter[\/et_pb_social_media_follow_network][et_pb_social_media_follow_network social_network=&#8221;linkedin&#8221; url=&#8221;https:\/\/www.linkedin.com\/company\/chronocam\/&#8221; use_icon_font_size=&#8221;on&#8221; icon_font_size=&#8221;30px&#8221; _builder_version=&#8221;4.16&#8243; background_color=&#8221;#007bb6&#8243; global_colors_info=&#8221;{}&#8221; follow_button=&#8221;off&#8221; url_new_window=&#8221;on&#8221;]linkedin[\/et_pb_social_media_follow_network][et_pb_social_media_follow_network social_network=&#8221;youtube&#8221; url=&#8221;https:\/\/www.youtube.com\/channel\/UCB7bfIyuBW4A8-uRF5RPZJQ&#8221; use_icon_font_size=&#8221;on&#8221; icon_font_size=&#8221;30px&#8221; _builder_version=&#8221;4.16&#8243; background_color=&#8221;#a82400&#8243; global_colors_info=&#8221;{}&#8221; follow_button=&#8221;off&#8221; url_new_window=&#8221;on&#8221;]youtube[\/et_pb_social_media_follow_network][\/et_pb_social_media_follow][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_code _builder_version=&#8221;4.16&#8243; _module_preset=&#8221;default&#8221; custom_padding=&#8221;50px||0px||false|false&#8221; global_colors_info=&#8221;{}&#8221;]\n\t\t\t<!-- START INV COMM NEWS BLOG Gensight Microfluid REVOLUTION SLIDER 6.7.34 --><p class=\"rs-p-wp-fix\"><\/p>\n\t\t\t<rs-module-wrap id=\"rev_slider_50_4_wrapper\" data-source=\"gallery\" style=\"visibility:hidden;background:transparent;padding:0;margin:0px auto;margin-top:0;margin-bottom:0;\">\n\t\t\t\t<rs-module id=\"rev_slider_50_4\" style=\"\" data-version=\"6.7.34\">\n\t\t\t\t\t<rs-slides style=\"overflow: hidden; position: absolute;\">\n\t\t\t\t\t\t<rs-slide style=\"position: absolute;\" data-key=\"rs-84\" data-title=\"Slide\" data-anim=\"adpr:false;\" data-in=\"o:0;\" data-out=\"a:false;\">\n\t\t\t\t\t\t\t<img decoding=\"async\" src=\"\/\/www.prophesee-cn.com\/wp-content\/plugins\/revslider\/sr6\/assets\/assets\/dummy.png\" alt=\"Slide\" title=\"Neuromorphic Vision and Touch Combined For Enhanced Robotics Capabilities\" class=\"rev-slidebg tp-rs-img rs-lazyload\" data-lazyload=\"\/\/www.prophesee-cn.com\/wp-content\/plugins\/revslider\/sr6\/assets\/assets\/transparent.png\" data-no-retina>\n<!--\n\t\t\t\t\t\t\t--><rs-group\n\t\t\t\t\t\t\t\tid=\"slider-50-slide-84-layer-1\" \n\t\t\t\t\t\t\t\tdata-type=\"group\"\n\t\t\t\t\t\t\t\tdata-xy=\"x:l,l,l,c;xo:615px,615px,393px,0;yo:245px,245px,349px,364px;\"\n\t\t\t\t\t\t\t\tdata-text=\"l:22;a:inherit;\"\n\t\t\t\t\t\t\t\tdata-dim=\"w:595px,595px,355px,440px;h:232px,232px,303px,160px;\"\n\t\t\t\t\t\t\t\tdata-frame_0=\"x:100%;o:1;\"\n\t\t\t\t\t\t\t\tdata-frame_0_mask=\"u:t;x:-100%;\"\n\t\t\t\t\t\t\t\tdata-frame_1=\"e:power4.out;st:600;sp:1500;sR:600;\"\n\t\t\t\t\t\t\t\tdata-frame_1_mask=\"u:t;\"\n\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;e:power4.out;st:w;sp:650;sR:6900;sA:9000;\"\n\t\t\t\t\t\t\t\tstyle=\"z-index:20;cursor:pointer;\"\n\t\t\t\t\t\t\t><!--\n\t\t\t\t\t\t\t\t--><a\n\t\t\t\t\t\t\t\t\tid=\"slider-50-slide-84-layer-7\" \n\t\t\t\t\t\t\t\t\tclass=\"rs-layer\"\n\t\t\t\t\t\t\t\t\thref=\"\/en\/microfluidic-analysis-event-based-vision\/\" target=\"_blank\" rel=\"noopener\"\n\t\t\t\t\t\t\t\t\tdata-type=\"shape\"\n\t\t\t\t\t\t\t\t\tdata-rsp_ch=\"on\"\n\t\t\t\t\t\t\t\t\tdata-xy=\"xo:-16,-16,-9,-5;yo:-12,-12,-6,-3;\"\n\t\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\t\tdata-text=\"w:normal;\"\n\t\t\t\t\t\t\t\t\tdata-dim=\"w:625px,625px,392px,490px;h:260px,260px,334px,206px;\"\n\t\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;\"\n\t\t\t\t\t\t\t\t\tstyle=\"z-index:19;\"\n\t\t\t\t\t\t\t\t> \n\t\t\t\t\t\t\t\t<\/a><!--\n\n\t\t\t\t\t\t\t\t--><rs-layer\n\t\t\t\t\t\t\t\t\tid=\"slider-50-slide-84-layer-3\" \n\t\t\t\t\t\t\t\t\tdata-type=\"text\"\n\t\t\t\t\t\t\t\t\tdata-rsp_ch=\"on\"\n\t\t\t\t\t\t\t\t\tdata-xy=\"xo:17px,17px,13px,20px;y:b;yo:4px,4px,20px,13px;\"\n\t\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\t\tdata-text=\"w:normal;s:30,30,24,20;l:35,35,28,25;fw:700;a:inherit;\"\n\t\t\t\t\t\t\t\t\tdata-dim=\"w:485px,485px,334px,315px;\"\n\t\t\t\t\t\t\t\t\tdata-frame_1=\"st:800;sR:200;\"\n\t\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;sR:7900;\"\n\t\t\t\t\t\t\t\t\tstyle=\"z-index:18;font-family:'Montserrat';\"\n\t\t\t\t\t\t\t\t>Microfluidic Analysis with event-based vision \n\t\t\t\t\t\t\t\t<\/rs-layer><!--\n\n\t\t\t\t\t\t\t\t--><rs-layer\n\t\t\t\t\t\t\t\t\tid=\"slider-50-slide-84-layer-8\" \n\t\t\t\t\t\t\t\t\tclass=\"rs-layer-video intrinsic-ignore\"\n\t\t\t\t\t\t\t\t\tdata-type=\"video\"\n\t\t\t\t\t\t\t\t\tdata-rsp_ch=\"on\"\n\t\t\t\t\t\t\t\t\tdata-xy=\"xo:-1px,-1px,-97px,-29px;yo:-59px,-59px,-34px,-74px;\"\n\t\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\t\tdata-text=\"w:normal;\"\n\t\t\t\t\t\t\t\t\tdata-dim=\"w:605px,605px,626px,526px;h:340px,340px,352px,296px;\"\n\t\t\t\t\t\t\t\t\tdata-video=\"vfc:true;vd:100;l:false;ptimer:false;\"\n\t\t\t\t\t\t\t\t\tdata-poster=\"\/\/www.prophesee-cn.com\/wp-content\/uploads\/2023\/01\/Microfluidic_10_Sec_531_layer.jpeg\"\n\t\t\t\t\t\t\t\t\tdata-mp4=\"\/\/v.prophesee-cn.com\/sv\/52f87ca7-185cee300f1\/52f87ca7-185cee300f1.mp4\"\n\t\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;\"\n\t\t\t\t\t\t\t\t\tstyle=\"z-index:17;\"\n\t\t\t\t\t\t\t\t>\n\t\t\t\t\t\t\t\t<\/rs-layer><!--\n\n\t\t\t\t\t\t\t\t--><rs-layer\n\t\t\t\t\t\t\t\t\tid=\"slider-50-slide-84-layer-2\" \n\t\t\t\t\t\t\t\t\tclass=\"tp-shape tp-shapewrapper\"\n\t\t\t\t\t\t\t\t\tdata-type=\"shape\"\n\t\t\t\t\t\t\t\t\tdata-rsp_ch=\"on\"\n\t\t\t\t\t\t\t\t\tdata-xy=\"xo:-1px,-1px,-1px,0;yo:4px,4px,-1px,0;\"\n\t\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\t\tdata-text=\"w:normal;fw:700;a:inherit;\"\n\t\t\t\t\t\t\t\t\tdata-dim=\"w:595px,595px,355px,440px;h:248px,248px,307px,160px;\"\n\t\t\t\t\t\t\t\t\tdata-frame_1=\"st:600;\"\n\t\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;sR:8100;\"\n\t\t\t\t\t\t\t\t\tstyle=\"z-index:16;\"\n\t\t\t\t\t\t\t\t> \n\t\t\t\t\t\t\t\t<\/rs-layer><!--\n\t\t\t\t\t\t\t--><\/rs-group><!--\n\n\t\t\t\t\t\t\t--><rs-group\n\t\t\t\t\t\t\t\tid=\"slider-50-slide-84-layer-11\" \n\t\t\t\t\t\t\t\tdata-type=\"group\"\n\t\t\t\t\t\t\t\tdata-xy=\"x:l,l,l,c;xo:28px,28px,30px,0;y:m,m,t,t;yo:-39px,-39px,3px,5px;\"\n\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\tdata-text=\"l:22;a:inherit;\"\n\t\t\t\t\t\t\t\tdata-dim=\"w:580px,580px,718px,440px;h:472px,472px,341px,350px;\"\n\t\t\t\t\t\t\t\tdata-disp=\"inline-block\"\n\t\t\t\t\t\t\t\tdata-frame_0=\"x:100%;o:1;\"\n\t\t\t\t\t\t\t\tdata-frame_0_mask=\"u:t;x:-100%;\"\n\t\t\t\t\t\t\t\tdata-frame_1=\"e:power4.out;st:500;sp:1500;sR:500;\"\n\t\t\t\t\t\t\t\tdata-frame_1_mask=\"u:t;\"\n\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;e:power4.out;st:w;sp:650;sR:7000;sA:9000;\"\n\t\t\t\t\t\t\t\tstyle=\"z-index:11;background-color:#d8dfec;cursor:pointer;display:inline-block;\"\n\t\t\t\t\t\t\t><!--\n\t\t\t\t\t\t\t\t--><a\n\t\t\t\t\t\t\t\t\tid=\"slider-50-slide-84-layer-9\" \n\t\t\t\t\t\t\t\t\tclass=\"rs-layer\"\n\t\t\t\t\t\t\t\t\thref=\"\/en\/sight-restoration-event-based-vision\/\" target=\"_blank\" rel=\"noopener\"\n\t\t\t\t\t\t\t\t\tdata-type=\"shape\"\n\t\t\t\t\t\t\t\t\tdata-rsp_ch=\"on\"\n\t\t\t\t\t\t\t\t\tdata-xy=\"x:l,l,l,c;xo:-6px,-6px,-3px,0;yo:-6px,-6px,-3px,-7px;\"\n\t\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\t\tdata-text=\"w:normal;\"\n\t\t\t\t\t\t\t\t\tdata-dim=\"w:600px,600px,376px,631px;h:499px,499px,313px,407px;\"\n\t\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;\"\n\t\t\t\t\t\t\t\t\tstyle=\"z-index:10;\"\n\t\t\t\t\t\t\t\t> \n\t\t\t\t\t\t\t\t<\/a><!--\n\n\t\t\t\t\t\t\t\t--><rs-layer\n\t\t\t\t\t\t\t\t\tid=\"slider-50-slide-84-layer-5\" \n\t\t\t\t\t\t\t\t\tdata-type=\"text\"\n\t\t\t\t\t\t\t\t\tdata-rsp_ch=\"on\"\n\t\t\t\t\t\t\t\t\tdata-xy=\"x:r,r,r,l;xo:9px,9px,45px,15px;y:b;yo:4px,4px,9px,16px;\"\n\t\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\t\tdata-text=\"w:normal;s:30,30,30,24;l:35,35,35,28;fw:700;a:right,right,right,inherit;\"\n\t\t\t\t\t\t\t\t\tdata-dim=\"w:485px,485px,661px,369px;\"\n\t\t\t\t\t\t\t\t\tdata-frame_1=\"st:500;\"\n\t\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;sR:8200;\"\n\t\t\t\t\t\t\t\t\tstyle=\"z-index:9;font-family:'Montserrat';\"\n\t\t\t\t\t\t\t\t>Partial recovery of visual function in a blind patient \n\t\t\t\t\t\t\t\t<\/rs-layer><!--\n\n\t\t\t\t\t\t\t\t--><rs-layer\n\t\t\t\t\t\t\t\t\tid=\"slider-50-slide-84-layer-0\" \n\t\t\t\t\t\t\t\t\tdata-type=\"image\"\n\t\t\t\t\t\t\t\t\tdata-rsp_ch=\"on\"\n\t\t\t\t\t\t\t\t\tdata-xy=\"xo:-843px,-843px,-729px,-338px;yo:-382px,-382px,-271px,-67px;\"\n\t\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\t\tdata-text=\"w:normal;\"\n\t\t\t\t\t\t\t\t\tdata-dim=\"w:2009px,2009px,1670px,892px;h:1284px,1284px,1067px,570px;\"\n\t\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;\"\n\t\t\t\t\t\t\t\t\tstyle=\"z-index:8;\"\n\t\t\t\t\t\t\t\t><img decoding=\"async\" src=\"\/\/www.prophesee-cn.com\/wp-content\/plugins\/revslider\/sr6\/assets\/assets\/dummy.png\" alt=\"\" class=\"tp-rs-img rs-lazyload\" width=\"1920\" height=\"1227\" data-lazyload=\"\/\/www.prophesee-cn.com\/wp-content\/uploads\/2023\/01\/Eye_Unsplash_OK_Web.jpg\" data-no-retina> \n\t\t\t\t\t\t\t\t<\/rs-layer><!--\n\t\t\t\t\t\t\t--><\/rs-group><!--\n\n\t\t\t\t\t\t\t--><rs-group\n\t\t\t\t\t\t\t\tid=\"slider-50-slide-84-layer-12\" \n\t\t\t\t\t\t\t\tdata-type=\"group\"\n\t\t\t\t\t\t\t\tdata-xy=\"x:l,l,l,c;xo:615px,615px,28px,0;yo:5px,5px,349px,531px;\"\n\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\tdata-text=\"l:22;a:inherit;\"\n\t\t\t\t\t\t\t\tdata-dim=\"w:595px,595px,355px,440px;h:232px,232px,303px,160px;\"\n\t\t\t\t\t\t\t\tdata-disp=\"inline-block\"\n\t\t\t\t\t\t\t\tdata-frame_0=\"x:100%;o:1;\"\n\t\t\t\t\t\t\t\tdata-frame_0_mask=\"u:t;x:-100%;\"\n\t\t\t\t\t\t\t\tdata-frame_1=\"e:power4.out;st:600;sp:1500;sR:600;\"\n\t\t\t\t\t\t\t\tdata-frame_1_mask=\"u:t;\"\n\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;e:power4.out;st:w;sp:650;sR:6900;sA:9000;\"\n\t\t\t\t\t\t\t\tstyle=\"z-index:15;cursor:pointer;display:inline-block;\"\n\t\t\t\t\t\t\t><!--\n\t\t\t\t\t\t\t\t--><a\n\t\t\t\t\t\t\t\t\tid=\"slider-50-slide-84-layer-10\" \n\t\t\t\t\t\t\t\t\tclass=\"rs-layer\"\n\t\t\t\t\t\t\t\t\thref=\"\/en\/space-situational-awareness-event-based-vision\/\" target=\"_blank\" rel=\"noopener\"\n\t\t\t\t\t\t\t\t\tdata-type=\"shape\"\n\t\t\t\t\t\t\t\t\tdata-rsp_ch=\"on\"\n\t\t\t\t\t\t\t\t\tdata-xy=\"x:c;xo:12px,12px,6px,-106px;yo:-33px,-33px,-20px,-12px;\"\n\t\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\t\tdata-text=\"w:normal;\"\n\t\t\t\t\t\t\t\t\tdata-dim=\"w:620px,620px,389px,713px;h:293px,293px,183px,233px;\"\n\t\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;\"\n\t\t\t\t\t\t\t\t\tstyle=\"z-index:14;\"\n\t\t\t\t\t\t\t\t> \n\t\t\t\t\t\t\t\t<\/a><!--\n\n\t\t\t\t\t\t\t\t--><rs-layer\n\t\t\t\t\t\t\t\t\tid=\"slider-50-slide-84-layer-14\" \n\t\t\t\t\t\t\t\t\tdata-type=\"text\"\n\t\t\t\t\t\t\t\t\tdata-rsp_ch=\"on\"\n\t\t\t\t\t\t\t\t\tdata-xy=\"x:l,l,r,l;xo:17px,17px,13px,20px;y:b;yo:4px,4px,20px,13px;\"\n\t\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\t\tdata-text=\"w:normal;s:30,30,24,20;l:35,35,28,25;fw:700;a:inherit,inherit,right,inherit;\"\n\t\t\t\t\t\t\t\t\tdata-dim=\"w:485px,485px,226px,315px;\"\n\t\t\t\t\t\t\t\t\tdata-frame_1=\"st:800;sR:200;\"\n\t\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;sR:7900;\"\n\t\t\t\t\t\t\t\t\tstyle=\"z-index:13;font-family:'Montserrat';\"\n\t\t\t\t\t\t\t\t>Space Situational Awareness with event-based vision \n\t\t\t\t\t\t\t\t<\/rs-layer><!--\n\n\t\t\t\t\t\t\t\t--><rs-layer\n\t\t\t\t\t\t\t\t\tid=\"slider-50-slide-84-layer-13\" \n\t\t\t\t\t\t\t\t\tclass=\"tp-shape tp-shapewrapper\"\n\t\t\t\t\t\t\t\t\tdata-type=\"shape\"\n\t\t\t\t\t\t\t\t\tdata-rsp_ch=\"on\"\n\t\t\t\t\t\t\t\t\tdata-xy=\"\"\n\t\t\t\t\t\t\t\t\tdata-pos=\"a\"\n\t\t\t\t\t\t\t\t\tdata-text=\"w:normal;fw:700;a:inherit;\"\n\t\t\t\t\t\t\t\t\tdata-dim=\"w:595px,595px,355px,440px;h:248px,248px,328px,160px;\"\n\t\t\t\t\t\t\t\t\tdata-frame_1=\"st:600;\"\n\t\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;sR:8100;\"\n\t\t\t\t\t\t\t\t\tstyle=\"z-index:12;\"\n\t\t\t\t\t\t\t\t><rs-bg-elem style=\"background: url('\/\/www.prophesee-cn.com\/wp-content\/plugins\/revslider\/sr6\/assets\/assets\/dummy.png') no-repeat center bottom; background-size: cover;\" data-bglazy=\"\/\/www.prophesee-cn.com\/wp-content\/uploads\/2023\/01\/Space-scaled-1.jpg\"><\/rs-bg-elem>\n \n\t\t\t\t\t\t\t\t<\/rs-layer><!--\n\t\t\t\t\t\t\t--><\/rs-group><!--\n\n\t\t\t\t\t\t\t--><a\n\t\t\t\t\t\t\t\tid=\"slider-50-slide-84-layer-4\" \n\t\t\t\t\t\t\t\tclass=\"rs-layer\"\n\t\t\t\t\t\t\t\thref=\"\/en\/contact-us-inventors-community\/\" target=\"_blank\" rel=\"noopener\"\n\t\t\t\t\t\t\t\tdata-type=\"text\"\n\t\t\t\t\t\t\t\tdata-rsp_ch=\"on\"\n\t\t\t\t\t\t\t\tdata-xy=\"x:c;y:t,t,b,b;yo:487px,487px,36px,20px;\"\n\t\t\t\t\t\t\t\tdata-text=\"w:normal;s:30,30,30,20;l:35,35,35,25;fw:800;a:center;\"\n\t\t\t\t\t\t\t\tdata-dim=\"w:485px,485px,431px,315px;\"\n\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;st:w;sR:8700;\"\n\t\t\t\t\t\t\t\tstyle=\"z-index:22;font-family:'Montserrat';\"\n\t\t\t\t\t\t\t>SUBMIT YOUR PROJECT \n\t\t\t\t\t\t\t<\/a><!--\n\n\t\t\t\t\t\t\t--><a\n\t\t\t\t\t\t\t\tid=\"slider-50-slide-84-layer-6\" \n\t\t\t\t\t\t\t\tclass=\"rs-layer\"\n\t\t\t\t\t\t\t\thref=\"https:\/\/www.prophesee.ai\/contact-us-inventors-community\/\" target=\"_blank\" rel=\"noopener\"\n\t\t\t\t\t\t\t\tdata-type=\"shape\"\n\t\t\t\t\t\t\t\tdata-rsp_ch=\"on\"\n\t\t\t\t\t\t\t\tdata-xy=\"x:c;yo:485px,485px,665px,699px;\"\n\t\t\t\t\t\t\t\tdata-text=\"w:normal;\"\n\t\t\t\t\t\t\t\tdata-dim=\"w:1182px,1182px,723px,440px;h:39px,39px,48px,38px;\"\n\t\t\t\t\t\t\t\tdata-frame_0=\"x:100%;o:1;\"\n\t\t\t\t\t\t\t\tdata-frame_0_mask=\"u:t;x:-100%;\"\n\t\t\t\t\t\t\t\tdata-frame_1=\"e:power4.out;st:500;sp:1500;sR:500;\"\n\t\t\t\t\t\t\t\tdata-frame_1_mask=\"u:t;\"\n\t\t\t\t\t\t\t\tdata-frame_999=\"o:0;e:power4.out;st:w;sp:650;sR:7000;\"\n\t\t\t\t\t\t\t\tstyle=\"z-index:21;background:linear-gradient(90deg, rgba(255,114,118,1) 0%, rgba(255,143,108,1) 100%);\"\n\t\t\t\t\t\t\t> \n\t\t\t\t\t\t\t<\/a><!--\n-->\t\t\t\t\t<\/rs-slide>\n\t\t\t\t\t<\/rs-slides>\n\t\t\t\t<\/rs-module>\n\t\t\t\t<script>\n\t\t\t\t\tsetREVStartSize({c: 'rev_slider_50_4',rl:[1240,1240,778,480],el:[560,560,740,750],gw:[1240,1240,778,480],gh:[560,560,740,750],type:'hero',justify:'',layout:'fullwidth',mh:\"0\"});if (window.RS_MODULES!==undefined && window.RS_MODULES.modules!==undefined && window.RS_MODULES.modules[\"revslider504\"]!==undefined) {window.RS_MODULES.modules[\"revslider504\"].once = false;window.revapi50 = undefined;if (window.RS_MODULES.checkMinimal!==undefined) window.RS_MODULES.checkMinimal()}\n\t\t\t\t<\/script>\n\t\t\t<\/rs-module-wrap>\n\t\t\t<!-- END REVOLUTION SLIDER -->\n[\/et_pb_code][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Prophesee today announced the appointment of digital imaging and machine vision industry veteran Ray Cisneros to the position of Vice President, Global Sales and Marketing<\/p>\n","protected":false},"author":1,"featured_media":69346,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"<p><img class=\"alignnone  wp-image-53284\" src=\"http:\/\/www.prophesee.ai\/wp-content\/uploads\/2018\/02\/PROPHESEE-HERO-ROBOTICS-Compressed-300x157.jpg\" alt=\"\" width=\"837\" height=\"438\" \/><\/p>\r\n<h1 style=\"text-align: center;\">Chronocam, the developer of most advanced neuromorphic vision system is now Prophesee, a branding and identity transformation that reflects our expanded vision for revolutionizing how machines see.<\/h1>\r\n<p>We are proud of the progress we have made in the past four years, advancing our innovative event-based video processing technology. Our disruptive bio-inspired AI approach has gained significant acceptance among initial adopters in automotive, industrial automation, surveillance, and IoT markets, and we are excited to further commercialize our developments in 2018.<\/p>\r\n<p>Today, with 60+ employees and backed by more than $40 million in capital investment by world class companies like Intel Capital, Renault and Robert Bosch, we are poised to take advantage of a huge opportunity to transform the machine vision landscape. \u00a0We are addressing the most challenging pain points in enabling better and\u00a0 more efficient ways to allow cameras and sensors improve our lives. Through higher performance, faster data processing and increased power efficiency, Prophesee will enhance safety, productivity and user experiences in many ways not possible with existing technology.<\/p>\r\n<p>Prophesee\u2019s new branding reinforces our ambition and vision to breaking new ground in video processing. We thank you for your continued interest and support, and look forward to ushering in this new era as Prophesee.<\/p>","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"class_list":["post-66657","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/www.prophesee-cn.com\/en\/wp-json\/wp\/v2\/pages\/66657","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.prophesee-cn.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.prophesee-cn.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.prophesee-cn.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.prophesee-cn.com\/en\/wp-json\/wp\/v2\/comments?post=66657"}],"version-history":[{"count":0,"href":"https:\/\/www.prophesee-cn.com\/en\/wp-json\/wp\/v2\/pages\/66657\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.prophesee-cn.com\/en\/wp-json\/"}],"wp:attachment":[{"href":"https:\/\/www.prophesee-cn.com\/en\/wp-json\/wp\/v2\/media?parent=66657"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}