{"id":2729,"date":"2020-04-27T11:25:48","date_gmt":"2020-04-27T11:25:48","guid":{"rendered":"https:\/\/vorschau.insensiv.de\/shape-recognition\/"},"modified":"2026-08-20T17:14:12","modified_gmt":"2026-08-20T15:14:12","slug":"shape-recognition","status":"publish","type":"page","link":"https:\/\/insensiv.de\/en\/products\/reverse-vending-technology\/shape-recognition\/","title":{"rendered":"Shape recognition"},"content":{"rendered":"<div  data-label=\"Start\" data-id=\"features--1\" data-export-id=\"features-16\" data-category=\"features\" class=\"features-16 content-section content-section-spacing\" id=\"start\" style=\"background-color: rgb(255, 255, 255); background-image: none;\"><div  class=\"gridContainer\"> <div  class=\"row text-center\"><div  class=\"section-title-col\" data-type=\"column\">  <h1  class=\"\">Shape recognition<\/h1><p  class=\"lead\">The insensiv shape recognition system analyzes beverage containers based on their shape and determines relevant parameters such as dimensions and volume. It can be flexibly integrated into existing reverse vending machines as an OEM component and is designed for use in national deposit return systems.<\/p><\/div> <\/div> <div  class=\"row spaced-cols center-sm content-center-sm\" data-type=\"row\"> <div  class=\"col-xs-12 col-sm-6 space-bottom col-md-6 \"> <img  decoding=\"async\" class=\"face\" src=\"https:\/\/www.insensiv.de\/wp-content\/uploads\/insensiv_shape_recognition.jpg\" title=\"insensiv shape recognition\" alt=\"insensiv shape recognition\"> <div  data-type=\"column\" class=\"col-padding-small col-padding-small-xs description-container\">   <\/div> <\/div>  <\/div> <\/div><\/div><div  data-label=\"Recognition technology\" data-id=\"content--9\" data-export-id=\"content-7-mc\" data-category=\"content\" class=\"content-7-mc content-section content-section-spacing\" id=\"recognition-technology\" style=\"background-color: rgb(255, 255, 255); background-image: none;\"><div  class=\"gridContainer\"> <div  class=\"row middle-sm\"><div  class=\"col-sm-6 space-bottom-xs\" data-type=\"column\"> <h2  class=\"\">Recognition technology for reverse vending machines<\/h2> <p  class=\"\">\n<br >The shape recognition is an independently operating camera system with homogeneous LED surface illumination for precise analysis of the shape and identification of the container type. It is designed for integration into existing reverse vending machines and can be used to analyze different types of containers such as bottles, cans or cups.\n<br ><br >\nThe integrated image processing software determines the input direction of the container and matches its shape with a database. This ensures that a deposit value is only given out for previously defined packages. Therefore, an analysis of the shape can be an important security feature in the context of deposit schemes or recycling initiatives.\n<br ><br >\nThe system can be configured to accept also deformed packages. The result of the measurement is transmitted via a serial interface. If necessary, software updates or centrally determined container parameters can be transmitted to different machines via remote maintenance.<\/p> <\/div> <div  class=\"col-sm-6\" data-type=\"column\"> <img  decoding=\"async\" class=\"shadow-large\" src=\"https:\/\/www.insensiv.de\/wp-content\/uploads\/insensiv_recognition_technology_for_reverse_vending_machines.jpg\" title=\"insensiv recognition technology for reverse vending machines\" alt=\"insensiv recognition technology for reverse vending machines\"><\/div> <\/div><\/div> <\/div><div  data-label=\"Recycling initiatives\" data-id=\"content--11\" data-export-id=\"content-8-mc\" data-category=\"content\" class=\"content-8-mc content-section content-section-spacing\" id=\"recycling-initiatives\" style=\"background-color: rgb(255, 255, 255); background-image: none;\"><div  class=\"gridContainer\"><div  data-section-title-area=\"true\" class=\"row text-center\">   <div  class=\"section-title-col\" data-type=\"column\">       <h2  class=\"\">Application areas<\/h2>       <p  class=\"lead\">No matter whether you are planning a recycling initiative or running a deposit system \u2013 With the shape recognition, we offer you a solution to make the return process at your reverse vending machine more efficient and secure.<\/p>   <\/div><\/div> <div  class=\"row middle-sm\"><div  class=\"col-sm-6 space-bottom-xs space-top-xs\" data-type=\"column\"> <img  decoding=\"async\" class=\"shadow-large\" src=\"https:\/\/www.insensiv.de\/wp-content\/uploads\/insensiv_shape_recognition_recycling_initiatives.jpg\" title=\"insensiv shape recognition recycling initiatives\" alt=\"insensiv shape recognition recycling initiatives\"><\/div> <div  class=\"col-sm-6\" data-type=\"column\"> <h3  class=\"\">Recycling initiatives<\/h3><p  class=\"\">You want to provide a smooth recycling experience for your customers and prevent the return of unwanted items? The insensiv shape recognition system allows you to perform a camera-based analysis on each container returned by the customer. This ensures that you can collect materials sorted by type and send them for recycling in a proper way. The system can also be set to accept deformed containers to ensure a flawless process at your reverse vending machine. Let us help you to make your recycling process convenient, efficient and profitable for every stakeholder involved.<\/p> <\/div> <\/div><\/div> <\/div><div  data-label=\"Deposit schemes\" data-id=\"content--12\" data-export-id=\"content-8-mc\" data-category=\"content\" class=\"content-8-mc content-section content-section-spacing\" id=\"deposit-schemes-1\" style=\"background-color: rgb(255, 255, 255);\"><div  class=\"gridContainer\"> <div  class=\"row middle-sm\"><div  class=\"col-sm-6 space-bottom-xs space-top-xs\" data-type=\"column\"> <img  decoding=\"async\" class=\"shadow-large\" src=\"https:\/\/www.insensiv.de\/wp-content\/uploads\/insensiv_shape_recognition_deposit_schemes.jpg\" title=\"insensiv shape recognition deposit schemes\" alt=\"insensiv shape recognition deposit schemes\"><\/div> <div  class=\"col-sm-6\" data-type=\"column\">  <h3  class=\"\">Deposit schemes<\/h3><p  class=\"\">National deposit systems are in most cases associated with a high deposit value. To ensure that this deposit value is only given out for valid containers, beverage packaging is marked with various security features. In addition to the verification of barcodes or security signets, the analysis of the container shape can also be an important security feature. By matching shape and barcode, you can minimize the risk of tampering at your reverse vending machine with our proven shape recognition system.<\/p><\/div> <\/div><\/div> <\/div><div  data-label=\"Technical details\" data-id=\"content--10\" data-export-id=\"content-12\" data-category=\"content\" class=\"content-12 content-section content-section-spacing\" id=\"technical-details\" style=\"background-color: rgb(255, 255, 255); background-image: url(&quot;https:\/\/www.insensiv.de\/wp-content\/uploads\/insensiv_flaschenkonturerkennung_background.jpg&quot;); background-size: cover; background-position: center top;\" data-section-ov=\"1\"><div  class=\"gridContainer\"> <div  class=\"row text-center\"><div  class=\"section-title-col\" data-type=\"column\"> <h2  class=\"\"><span  style=\"color: rgb(255, 255, 255);\">Technical data<\/span><\/h2> <p  class=\"lead\"><span  style=\"color: rgb(255, 255, 255);\"><span style=\"font-weight: 600;\" >\n<br >Recognition technology:<\/span> Camera-based shape recognition<br >\n<span style=\"font-weight: 600;\" >Recognized container features:<\/span> Shape, dimensions, volume and speed<br >\n<span style=\"font-weight: 600;\" >Analysis results:<\/span> Shape matching, shape parameters and compaction detection<br >\n<span style=\"font-weight: 600;\" >Container size:<\/span> 50-130 mm diameter \/ 50-400 mm length<br >\n<span style=\"font-weight: 600;\" >Recognition time:<\/span> &lt; 100 ms<br >\n<span style=\"font-weight: 600;\" >Camera housing dimensions:<\/span> 110.6 \u00d7 65.4 \u00d7 38 mm<br >\n<span style=\"font-weight: 600;\" >Weight:<\/span> 430 g<br >\n<span style=\"font-weight: 600;\" >Communication:<\/span> Ethernet interface with gRPC protocol<br >\n<span style=\"font-weight: 600;\" >Web app:<\/span> Configuration, live analysis, and management of the container database<br >\n<span style=\"font-weight: 600;\" >Power supply:<\/span> 24 V DC<br >\n<span style=\"font-weight: 600;\" >Power consumption:<\/span> 5 W in standby \/ 20 W during operation<\/span><\/p><\/div> <\/div> <div  class=\"row center-xs middle-xs\"> <div  class=\"col-sm-9\" data-type=\"column\"> <\/div> <\/div><\/div> <\/div><div  data-label=\"Maximum security\" data-id=\"content--13\" data-export-id=\"content-7-mc\" data-category=\"content\" class=\"content-7-mc content-section content-section-spacing\" id=\"maximum-security\" style=\"background-color: rgb(255, 255, 255); background-image: none;\"><div  class=\"gridContainer\"> <div  class=\"row middle-sm\"><div  class=\"col-sm-6 space-bottom-xs\" data-type=\"column\"> <h2  class=\"\">Reliable recognition for maximum security<\/h2> <p  class=\"\">Distinguishing quickly and reliably between thousands of different containers is complicated. insensiv has more than 15 years of experience with deposit return systems and recycling processes in various markets. We offer a proven solution for the specific requirements of your market.\n<br ><br >\nOur shape recognition systems are based on the principle of identifying a container by means of a camera. This is done by taking a picture of the container and extracting an outline of its shape. This shape is then compared with the shapes stored in a database in order to check the validity based on this comparison.\n<br ><br >\nThe accuracy of camera-based shape matching is significantly higher than laser measurement methods, which simply measure the width and length of packages at specific points. Because in order to create an efficient system that offers security and long-term benefits to all stakeholders, the reliable recognition of returned containers is crucial. insensiv supports you in designing deposit systems and recycling of beverage packaging with innovative and sophisticated recognition technology.<\/p> <\/div> <div  class=\"col-sm-6\" data-type=\"column\"> <img  decoding=\"async\" class=\"shadow-large\" src=\"https:\/\/www.insensiv.de\/wp-content\/uploads\/insensiv_erkennung_von_pfandgebinden.jpg\" title=\"insensiv Erkennung von Pfandgebinden\" alt=\"insensiv Erkennung von Pfandgebinden\"><img  decoding=\"async\" class=\"custom-image\" src=\"https:\/\/www.insensiv.de\/wp-content\/uploads\/insensiv_konturanalyse.jpg\" title=\"insensiv Konturanalyse\" alt=\"insensiv Konturanalyse\"><\/div> <\/div><\/div> <\/div><div data-label=\"FAQs\" data-id=\"content--14\" data-export-id=\"content-12\" data-category=\"content\" class=\"content-12 content-section content-section-spacing\" id=\"faqs\"  style=\"background-color: rgb(255, 255, 255); background-image: none;\"><div class=\"gridContainer\" > <div class=\"row text-center\" ><div class=\"section-title-col\" data-type=\"column\" > <h2 class=\"\" >Frequently Asked Questions about our Shape recognition<\/h2> <\/div> <\/div> <div class=\"row center-xs middle-xs\" > <div class=\"col-sm-9\" data-type=\"column\" ><div data-editable=\"true\" data-name=\"ope-custom-content-shortcode\" data-content-shortcode=\"elementor-template id=&quot;8631&quot;\" class=\"\" >\t\t<div data-elementor-type=\"section\" data-elementor-id=\"8631\" class=\"elementor elementor-8631 elementor-8623\" data-elementor-post-type=\"elementor_library\">\n\t\t\t<div class=\"elementor-element elementor-element-22769ace e-flex e-con-boxed e-con e-parent\" data-id=\"22769ace\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5fc03ca5 elementor-widget elementor-widget-n-accordion\" data-id=\"5fc03ca5\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;default_state&quot;:&quot;all_collapsed&quot;,&quot;max_items_expended&quot;:&quot;one&quot;,&quot;n_accordion_animation_duration&quot;:{&quot;unit&quot;:&quot;ms&quot;,&quot;size&quot;:400,&quot;sizes&quot;:[]}}\" data-widget_type=\"nested-accordion.default\">\n\t\t\t\t\t\t\t<div class=\"e-n-accordion\" aria-label=\"Accordion. Open links with Enter or Space, close with Escape, and navigate with Arrow Keys\">\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1600\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"1\" tabindex=\"0\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1600\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> How does the insensiv shape recognition work and what is it used for? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-angle-up\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M177 159.7l136 136c9.4 9.4 9.4 24.6 0 33.9l-22.6 22.6c-9.4 9.4-24.6 9.4-33.9 0L160 255.9l-96.4 96.4c-9.4 9.4-24.6 9.4-33.9 0L7 329.7c-9.4-9.4-9.4-24.6 0-33.9l136-136c9.4-9.5 24.6-9.5 34-.1z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-angle-down\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M143 352.3L7 216.3c-9.4-9.4-9.4-24.6 0-33.9l22.6-22.6c9.4-9.4 24.6-9.4 33.9 0l96.4 96.4 96.4-96.4c9.4-9.4 24.6-9.4 33.9 0l22.6 22.6c9.4 9.4 9.4 24.6 0 33.9l-136 136c-9.2 9.4-24.4 9.4-33.8 0z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1600\" class=\"elementor-element elementor-element-e877706 e-con-full e-flex e-con e-child\" data-id=\"e877706\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9d330a7 elementor-widget elementor-widget-text-editor\" data-id=\"9d330a7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The insensiv shape recognition is an intelligent, independently operating camera system that can be integrated as an OEM component into various reverse vending machines. It is used to analyze returned beverage containers, capturing relevant shape parameters such as dimensions and volume. For single-use containers such as PET bottles and aluminum cans, the system can also verify whether they have already been compacted and thereby invalidated prior to return. For dimensionally stable reusable containers, such as glass bottles, comparing the detected shape with containers stored in a database enables exact identification.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1601\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"2\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1601\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> What types of packaging and containers can be analyzed using the shape recognition? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-angle-up\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M177 159.7l136 136c9.4 9.4 9.4 24.6 0 33.9l-22.6 22.6c-9.4 9.4-24.6 9.4-33.9 0L160 255.9l-96.4 96.4c-9.4 9.4-24.6 9.4-33.9 0L7 329.7c-9.4-9.4-9.4-24.6 0-33.9l136-136c9.4-9.5 24.6-9.5 34-.1z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-angle-down\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M143 352.3L7 216.3c-9.4-9.4-9.4-24.6 0-33.9l22.6-22.6c9.4-9.4 24.6-9.4 33.9 0l96.4 96.4 96.4-96.4c9.4-9.4 24.6-9.4 33.9 0l22.6 22.6c9.4 9.4 9.4 24.6 0 33.9l-136 136c-9.2 9.4-24.4 9.4-33.8 0z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1601\" class=\"elementor-element elementor-element-384ce12c e-con-full e-flex e-con e-child\" data-id=\"384ce12c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5a5c2cc9 elementor-widget elementor-widget-text-editor\" data-id=\"5a5c2cc9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Generally, all common beverage containers such as PET bottles, aluminum cans, glass bottles, and Tetra Paks can be analyzed. Regardless of the container type, the shape recognition system determines shape parameters such as height, length, volume, and the speed of the container. Comparing the recognized shape with the containers stored in the database is particularly effective for dimensionally stable reusable containers such as glass bottles and reusable PET bottles.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1602\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"3\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1602\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Can the insensiv shape recognition be integrated into an existing reverse vending machine? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-angle-up\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M177 159.7l136 136c9.4 9.4 9.4 24.6 0 33.9l-22.6 22.6c-9.4 9.4-24.6 9.4-33.9 0L160 255.9l-96.4 96.4c-9.4 9.4-24.6 9.4-33.9 0L7 329.7c-9.4-9.4-9.4-24.6 0-33.9l136-136c9.4-9.5 24.6-9.5 34-.1z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-angle-down\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M143 352.3L7 216.3c-9.4-9.4-9.4-24.6 0-33.9l22.6-22.6c9.4-9.4 24.6-9.4 33.9 0l96.4 96.4 96.4-96.4c9.4-9.4 24.6-9.4 33.9 0l22.6 22.6c9.4 9.4 9.4 24.6 0 33.9l-136 136c-9.2 9.4-24.4 9.4-33.8 0z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1602\" class=\"elementor-element elementor-element-4fee0e5d e-con-full e-flex e-con e-child\" data-id=\"4fee0e5d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-27806f60 elementor-widget elementor-widget-text-editor\" data-id=\"27806f60\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The insensiv shape recognition can generally be integrated as an OEM component into standard reverse vending machines. The system is typically installed inside the machine, above the conveyor belt in the input chute. Inserted containers are usually analyzed indirectly via a mirror system that provides a side view of the containers.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1603\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"4\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1603\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> How quickly are beverage containers detected and analyzed? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-angle-up\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M177 159.7l136 136c9.4 9.4 9.4 24.6 0 33.9l-22.6 22.6c-9.4 9.4-24.6 9.4-33.9 0L160 255.9l-96.4 96.4c-9.4 9.4-24.6 9.4-33.9 0L7 329.7c-9.4-9.4-9.4-24.6 0-33.9l136-136c9.4-9.5 24.6-9.5 34-.1z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-angle-down\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M143 352.3L7 216.3c-9.4-9.4-9.4-24.6 0-33.9l22.6-22.6c9.4-9.4 24.6-9.4 33.9 0l96.4 96.4 96.4-96.4c9.4-9.4 24.6-9.4 33.9 0l22.6 22.6c9.4 9.4 9.4 24.6 0 33.9l-136 136c-9.2 9.4-24.4 9.4-33.8 0z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1603\" class=\"elementor-element elementor-element-1928bb65 e-con-full e-flex e-con e-child\" data-id=\"1928bb65\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-29f183b8 elementor-widget elementor-widget-text-editor\" data-id=\"29f183b8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The shape recognition detects a package in less than 100 milliseconds, so the conveyor belt does not need to be stopped for analysis. This enables short processing times and a fast, reliable return process. The high recognition speed also provides sufficient performance capacity for automated and conveyor-based applications, such as those in counting centers.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1604\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"5\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1604\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> Is the insensiv shape recognition suitable for use in national deposit return systems? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-angle-up\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M177 159.7l136 136c9.4 9.4 9.4 24.6 0 33.9l-22.6 22.6c-9.4 9.4-24.6 9.4-33.9 0L160 255.9l-96.4 96.4c-9.4 9.4-24.6 9.4-33.9 0L7 329.7c-9.4-9.4-9.4-24.6 0-33.9l136-136c9.4-9.5 24.6-9.5 34-.1z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-angle-down\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M143 352.3L7 216.3c-9.4-9.4-9.4-24.6 0-33.9l22.6-22.6c9.4-9.4 24.6-9.4 33.9 0l96.4 96.4 96.4-96.4c9.4-9.4 24.6-9.4 33.9 0l22.6 22.6c9.4 9.4 9.4 24.6 0 33.9l-136 136c-9.2 9.4-24.4 9.4-33.8 0z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1604\" class=\"elementor-element elementor-element-51ffacae e-con-full e-flex e-con e-child\" data-id=\"51ffacae\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-35728d64 elementor-widget elementor-widget-text-editor\" data-id=\"35728d64\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Yes. The insensiv shape recognition system is suitable for use in national deposit return systems, where shape recognition is mandatory as part of the return process. With its precise shape matching for reusable containers, analysis of relevant shape parameters for single-use containers, and compaction detection, it meets various requirements for inspecting beverage containers registered within the scheme in national deposit return systems.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t\t<details id=\"e-n-accordion-item-1605\" class=\"e-n-accordion-item\" >\n\t\t\t\t<summary class=\"e-n-accordion-item-title\" data-accordion-index=\"6\" tabindex=\"-1\" aria-expanded=\"false\" aria-controls=\"e-n-accordion-item-1605\" >\n\t\t\t\t\t<span class='e-n-accordion-item-title-header'><div class=\"e-n-accordion-item-title-text\"> How can the shape recognition be configured and managed? <\/div><\/span>\n\t\t\t\t\t\t\t<span class='e-n-accordion-item-title-icon'>\n\t\t\t<span class='e-opened' ><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-angle-up\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M177 159.7l136 136c9.4 9.4 9.4 24.6 0 33.9l-22.6 22.6c-9.4 9.4-24.6 9.4-33.9 0L160 255.9l-96.4 96.4c-9.4 9.4-24.6 9.4-33.9 0L7 329.7c-9.4-9.4-9.4-24.6 0-33.9l136-136c9.4-9.5 24.6-9.5 34-.1z\"><\/path><\/svg><\/span>\n\t\t\t<span class='e-closed'><svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-angle-down\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M143 352.3L7 216.3c-9.4-9.4-9.4-24.6 0-33.9l22.6-22.6c9.4-9.4 24.6-9.4 33.9 0l96.4 96.4 96.4-96.4c9.4-9.4 24.6-9.4 33.9 0l22.6 22.6c9.4 9.4 9.4 24.6 0 33.9l-136 136c-9.2 9.4-24.4 9.4-33.8 0z\"><\/path><\/svg><\/span>\n\t\t<\/span>\n\n\t\t\t\t\t\t<\/summary>\n\t\t\t\t<div role=\"region\" aria-labelledby=\"e-n-accordion-item-1605\" class=\"elementor-element elementor-element-44dc169d e-con-full e-flex e-con e-child\" data-id=\"44dc169d\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6e14c658 elementor-widget elementor-widget-text-editor\" data-id=\"6e14c658\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>The insensiv shape recognition system is easily configured and managed via an integrated web app. Through the user interface, users can configure system settings, adjust recognition parameters, and view live analysis. In addition, the container database can be managed and new containers can be taught to the system. This allows the system to be flexibly adapted to different requirements and applications.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/details>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<\/div> <\/div> <\/div><\/div> <\/div><div  data-label=\"Contact\" data-id=\"content--8\" data-export-id=\"content-9\" data-category=\"content\" class=\"content-9 content-section content-section-spacing\" id=\"contact\" style=\"background-color: rgb(255, 255, 255); background-image: none;\"><div  class=\"gridContainer\"> <div  class=\"row text-center\"><div  class=\"section-title-col\" data-type=\"column\"> <h2  class=\"\">Interested?<\/h2> <p  class=\"lead\">You need more information about our shape recognition? Download the product flyer or contact us directly by mail or phone. We will be glad to help you.<\/p><\/div> <\/div> <div  class=\"row space-bottom text-center\" data-type=\"row\"> <div  class=\"col-sm-4 col-padding-small\"> <i  class=\"fa icon fa-file-text bordered round color1\"><\/i> <h4  class=\"\">Product flyer<\/h4> <a  class=\"button color1\" href=\"https:\/\/www.insensiv.de\/wp-content\/uploads\/Product-flyer-shape-recognition.pdf\" target=\"_blank\" data-cp-link=\"1\" data-icon=\"\" rel=\"noopener\">DOWNLOAD<\/a><\/div> <div  class=\"col-sm-4 col-padding-small\"><i  class=\"fa icon fa-envelope bordered round color1\"><\/i> <h4  class=\"\">Mail<\/h4> <a  class=\"link\" href=\"mailto:sales@insensiv.de\" target=\"_blank\" data-cp-link=\"1\" rel=\"noopener\">sales@insensiv.de<\/a><\/div> <div  class=\"col-sm-4 col-padding-small\"><i  class=\"fa icon fa-phone bordered round color1\"><\/i> <h4  class=\"\">Phone<\/h4> <a  class=\"link\" href=\"tel:+49 (0) 521 \u2013 3299470\" target=\"_self\" data-cp-link=\"1\" rel=\"noopener\">+49 (0) 521 \u2013 3299470<\/a><\/div> <\/div> <div  class=\"row center-xs middle-xs\"> <div  class=\"col-sm-12\" data-type=\"column\">  <\/div><\/div> <\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Shape recognitionThe insensiv shape recognition system analyzes beverage containers based on their shape and determines relevant parameters such as dimensions and volume. It can be flexibly integrated into existing reverse vending machines as an OEM component and is designed for use in national deposit return systems. Recognition technology for reverse vending machines The shape recognition&hellip; <br \/> <a class=\"read-more\" href=\"https:\/\/insensiv.de\/en\/products\/reverse-vending-technology\/shape-recognition\/\">Read more<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":3557,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"pro\/page-templates\/page-with-small-header.php","meta":{"footnotes":""},"class_list":["post-2729","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/insensiv.de\/en\/wp-json\/wp\/v2\/pages\/2729","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/insensiv.de\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/insensiv.de\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/insensiv.de\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/insensiv.de\/en\/wp-json\/wp\/v2\/comments?post=2729"}],"version-history":[{"count":7,"href":"https:\/\/insensiv.de\/en\/wp-json\/wp\/v2\/pages\/2729\/revisions"}],"predecessor-version":[{"id":8636,"href":"https:\/\/insensiv.de\/en\/wp-json\/wp\/v2\/pages\/2729\/revisions\/8636"}],"up":[{"embeddable":true,"href":"https:\/\/insensiv.de\/en\/wp-json\/wp\/v2\/pages\/3557"}],"wp:attachment":[{"href":"https:\/\/insensiv.de\/en\/wp-json\/wp\/v2\/media?parent=2729"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}