{"id":1822,"date":"2020-12-21T16:11:21","date_gmt":"2020-12-21T16:11:21","guid":{"rendered":"https:\/\/posaok.com\/stage\/?p=1822"},"modified":"2021-09-29T04:43:49","modified_gmt":"2021-09-29T04:43:49","slug":"%d0%bf%d0%be%d0%ba%d1%83%d0%bf%d0%b0%d1%82%d0%b5%d0%bb%d1%8c%d1%81%d0%ba%d0%b0%d1%8f-%d0%b0%d0%bd%d0%b0%d0%bb%d0%b8%d1%82%d0%b8%d0%ba%d0%b0-%d1%81%d1%82%d0%b0%d0%bd%d0%be%d0%b2%d0%b8%d1%82%d1%81%d1%8f","status":"publish","type":"post","link":"https:\/\/posaok.com\/?p=1822&lang=ru","title":{"rendered":"\u041f\u043e\u043a\u0443\u043f\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0430\u044f \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u0430 \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0441\u044f \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0430\u043b\u044c\u043d\u043e\u0439 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0435\u0439 \u0441 \u0431\u0438\u043e\u043c\u0435\u0442\u0440\u0438\u0447\u0435\u0441\u043a\u043e\u0439 \u043a\u0430\u043c\u0435\u0440\u043e\u0439 \u0434\u043b\u044f \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u043b\u0438\u0446"},"content":{"rendered":"

There have been quite a few years when retail shopper analytics have not been effective. <\/span>No matter how advanced technologies we use, such as iBeacon, RFID tag, touch screen to record shopper actions in a store, shopper analytics are neither accurate nor up-to-date, if we find that the analytics is not positive we cannot improve shopping experience at the moment.<\/span><\/span><\/p>\n

\"face<\/p>\n

facial recognition camera for retail analytics<\/span><\/span><\/p>\n

Today, shopper analytics is becoming a versatile technology. <\/span>The biometric camera with facial recognition and built-in algorithm helps sign app developers understand shopper actions accurately and efficiently.<\/span><\/span><\/p>\n

\"\u041f\u043e\u043a\u0443\u043f\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0430\u044f<\/p>\n

facial recognition retail analytics<\/span><\/span><\/p>\n

The biometric camera module, which always consists of two cameras, one with an infrared sensor and the other with an RGB sensor, can only read real people. <\/span>In this way, a retail signage system with shopper analytics can detect the presence of people and uniquely identify them, whether the shopper walks a direct step or glances quickly but does not actually stop to interact with the storefront, or simply stop. to keep in touch for a while. <\/span>Through a set of predefined object templates, the system detects customer interactions with products on the shelf \/ lift \/ display table if the product is picked up or the product is taken and then put back. <\/span>It can be integrated with connected displays, and it can also work independently, <\/span>to improve retail analytics performance for traditional, standalone retail displays. <\/span>It can work as a smart sales assistant by adding audio trigger, video trigger with preset rules, thanks to the facial recognition capability, the system understands exactly the intentions of people on the shelf, and then these preset triggers can work very well at the right time.<\/span><\/span><\/p>\n

Here is a research paper on Buyer Analytics and Retail Audience Measurement.<\/span><\/span><\/p>\n

This is a new era of retail vision tracking with increased customer interactivity. <\/span>Thanks to Rockchip RK3288 and RK3399, their powerful GPU can do video analysis and pattern matching, calculations are very efficient and accurate, they are also the main processor for face scanning access control terminals at check-in points in China high-speed railway stations, Alipay payment terminal screens with face scanning function.<\/span><\/span><\/p>\n

Checking the specs of these biometric facial recognition cameras? <\/span>Download the Datasheet by clicking on the link.<\/span><\/span><\/p>\n

This model was used for our 8-inch retail tablets with a facial recognition camera, and is also an excellent solution for access control and conference room management.<\/span><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

There have been quite a few years when retail shopper analytics have not been effective. No matter how advanced technologies we use, such as iBeacon, RFID tag, touch screen to record shopper actions in a store, shopper analytics are neither accurate nor up-to-date, if we find that the analytics is not positive we cannot improve […]<\/p>\n","protected":false},"author":1,"featured_media":946,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[593],"tags":[],"class_list":["post-1822","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-593"],"_links":{"self":[{"href":"https:\/\/posaok.com\/index.php?rest_route=\/wp\/v2\/posts\/1822","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/posaok.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/posaok.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/posaok.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/posaok.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1822"}],"version-history":[{"count":4,"href":"https:\/\/posaok.com\/index.php?rest_route=\/wp\/v2\/posts\/1822\/revisions"}],"predecessor-version":[{"id":5840,"href":"https:\/\/posaok.com\/index.php?rest_route=\/wp\/v2\/posts\/1822\/revisions\/5840"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/posaok.com\/index.php?rest_route=\/wp\/v2\/media\/946"}],"wp:attachment":[{"href":"https:\/\/posaok.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1822"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/posaok.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1822"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/posaok.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1822"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}