{"id":1189,"date":"2025-11-29T03:37:19","date_gmt":"2025-11-29T03:37:19","guid":{"rendered":"https:\/\/thermovisio.es\/?page_id=1189"},"modified":"2026-01-11T15:53:34","modified_gmt":"2026-01-11T13:53:34","slug":"ai-diagnostics","status":"publish","type":"page","link":"https:\/\/thermovisio.es\/en\/ai-diagnostics\/","title":{"rendered":"AI Diagnostics"},"content":{"rendered":"\n<div class=\"wp-block-greenshift-blocks-row gspb_row gspb_row-id-gsbp-f54e2ab gspb_row--gutter-custom-0\" id=\"gspb_row-id-gsbp-f54e2ab\"><div class=\"gspb_row__content\"> \n<div class=\"wp-block-greenshift-blocks-row-column gspb_row__col--8 gspb_col-id-gsbp-45da077\" id=\"gspb_col-id-gsbp-45da077\">\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-d49d578\" id=\"gspb_container-id-gsbp-d49d578\">\n<h2 id=\"gspb_heading-id-gsbp-605dcc8\" class=\"gspb_heading gspb_heading-id-gsbp-605dcc8 \"><strong><strong>AI &#038; Machine Learning and Diagnostics<\/strong><\/strong><\/h2>\n\n\n\n<div id=\"gspb_text-id-gsbp-0d640ec\" class=\"gspb_text gspb_text-id-gsbp-0d640ec \">AI &#038; Machine Learning Diagnostics enhance traditional thermography with automated fault detection and advanced pattern recognition. Our models analyze thermal images, RGB photos, and metadata to classify defects, quantify risks, and predict failure trends.<br>By combining datasets and intelligent algorithms, we deliver faster, more consistent, and highly accurate diagnostic results that support proactive maintenance and data-driven decision-making.<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-178d18d\" id=\"gspb_container-id-gsbp-178d18d\">\n<div class=\"gspb_button_wrapper gspb_button-id-gsbp-b7e853b\" id=\"gspb_button-id-gsbp-b7e853b\"><a class=\"wp-block-greenshift-blocks-buttonbox gspb-buttonbox wp-element-button\" href=\"https:\/\/thermovisio.es\/contact\/\" rel=\"noopener\"><span class=\"gspb-buttonbox-textwrap\"><span class=\"gspb-buttonbox-text\"><span class=\"gspb-buttonbox-title\">Get in Touch <\/span><\/span><span class=\"gspb-buttonbox-icon\"><svg class=\"\" style=\"display:inline-block;vertical-align:middle\" width=\"15\" height=\"15\" viewBox=\"0 0 896 1024\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path style=\"fill:#565D66\" d=\"M436.202 76.202l-39.598 39.598c-9.372 9.372-9.372 24.568 0 33.942l310.26 310.258h-682.864c-13.254 0-24 10.746-24 24v56c0 13.254 10.746 24 24 24h682.864l-310.26 310.26c-9.372 9.372-9.372 24.568 0 33.942l39.598 39.598c9.372 9.372 24.568 9.372 33.942 0l418.828-418.828c9.372-9.372 9.372-24.568 0-33.942l-418.83-418.828c-9.372-9.374-24.568-9.374-33.94 0z\"><\/path><\/svg><\/span><\/span><\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-greenshift-blocks-row-column gspb_row__col--4 gspb_col-id-gsbp-4ac55fb\" id=\"gspb_col-id-gsbp-4ac55fb\"><\/div>\n <\/div><\/div>\n\n\n\n<div class=\"wp-block-greenshift-blocks-row gspb_row gspb_row-id-gsbp-30814f4 gspb_row--gutter-custom-0\" id=\"gspb_row-id-gsbp-30814f4\"><div class=\"gspb_row__content\"> \n<div class=\"wp-block-greenshift-blocks-row-column gspb_row__col--6 gspb_col-id-gsbp-26287bc\" id=\"gspb_col-id-gsbp-26287bc\">\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-26194c9 border-animation\" id=\"gspb_container-id-gsbp-26194c9\">\n<h4 id=\"gspb_heading-id-gsbp-4c78b74\" class=\"gspb_heading gspb_heading-id-gsbp-4c78b74 \"><strong><strong>What We Analyze<\/strong><\/strong><\/h4>\n\n\n\n<p id=\"gspb_text-id-gsbp-4c4ea34\" class=\"gspb_text gspb_text-id-gsbp-4c4ea34 \">Our AI models evaluate thermal signatures, visual irregularities, electrical patterns, shading, module degradation, hotspots, and spatial correlations across the entire PV field.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-ce60644 border-animation\" id=\"gspb_container-id-gsbp-ce60644\">\n<h4 id=\"gspb_heading-id-gsbp-3d8ee25\" class=\"gspb_heading gspb_heading-id-gsbp-3d8ee25 \"><strong><strong>Models &#038; accuracy<\/strong><\/strong><\/h4>\n\n\n\n<p id=\"gspb_text-id-gsbp-9d70b45\" class=\"gspb_text gspb_text-id-gsbp-9d70b45 \">Machine learning detects subtle anomalies that the human eye may miss\u2014especially in large solar parks. It increases precision, reduces inspection time, and ensures consistent quality across repeated inspections.<\/p>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-greenshift-blocks-row-column gspb_row__col--6 gspb_col-id-gsbp-2bf8e37\" id=\"gspb_col-id-gsbp-2bf8e37\">\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-ac836e4 border-animation\" id=\"gspb_container-id-gsbp-ac836e4\">\n<h4 id=\"gspb_heading-id-gsbp-38cd3de\" class=\"gspb_heading gspb_heading-id-gsbp-38cd3de \"><strong><strong>Why ML Improves Inspection<\/strong><\/strong><\/h4>\n\n\n\n<p id=\"gspb_text-id-gsbp-eac281e\" class=\"gspb_text gspb_text-id-gsbp-eac281e \">Thermographic Solar Inspection provides a precise, non-invasive method to evaluate the health and performance of solar PV installations. Using high-resolution thermal imaging captured by drones, we identify:<\/p>\n\n\n\n<div class=\"wp-block-greenshift-blocks-iconlist gspb_iconsList gspb_iconsList-id-gsbp-1be456e\" id=\"gspb_iconsList-id-gsbp-1be456e\"><div class=\"gspb_iconsList__item\" data-id=\"0\"><svg class=\"\" style=\"display:inline-block;vertical-align:middle\" width=\"18\" height=\"18\" viewBox=\"0 0 1024 1024\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path style=\"fill:#565D66\" d=\"M1008 512c0 273.934-222.066 496-496 496s-496-222.066-496-496 222.066-496 496-496 496 222.066 496 496zM454.628 774.628l368-368c12.496-12.496 12.496-32.758 0-45.254l-45.254-45.254c-12.496-12.498-32.758-12.498-45.256 0l-300.118 300.116-140.118-140.118c-12.496-12.496-32.758-12.496-45.256 0l-45.254 45.254c-12.496 12.496-12.496 32.758 0 45.254l208 208c12.498 12.498 32.758 12.498 45.256 0.002z\"><\/path><\/svg><span class=\"gspb_iconsList__item__text\">hotspots<\/span><\/div><div class=\"gspb_iconsList__item\" data-id=\"1\"><svg class=\"\" style=\"display:inline-block;vertical-align:middle\" width=\"18\" height=\"18\" viewBox=\"0 0 1024 1024\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path style=\"fill:#565D66\" d=\"M1008 512c0 273.934-222.066 496-496 496s-496-222.066-496-496 222.066-496 496-496 496 222.066 496 496zM454.628 774.628l368-368c12.496-12.496 12.496-32.758 0-45.254l-45.254-45.254c-12.496-12.498-32.758-12.498-45.256 0l-300.118 300.116-140.118-140.118c-12.496-12.496-32.758-12.496-45.256 0l-45.254 45.254c-12.496 12.496-12.496 32.758 0 45.254l208 208c12.498 12.498 32.758 12.498 45.256 0.002z\"><\/path><\/svg><span class=\"gspb_iconsList__item__text\">faulty modules<\/span><\/div><div class=\"gspb_iconsList__item\" data-id=\"2\"><svg class=\"\" style=\"display:inline-block;vertical-align:middle\" width=\"18\" height=\"18\" viewBox=\"0 0 1024 1024\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path style=\"fill:#565D66\" d=\"M1008 512c0 273.934-222.066 496-496 496s-496-222.066-496-496 222.066-496 496-496 496 222.066 496 496zM454.628 774.628l368-368c12.496-12.496 12.496-32.758 0-45.254l-45.254-45.254c-12.496-12.498-32.758-12.498-45.256 0l-300.118 300.116-140.118-140.118c-12.496-12.496-32.758-12.496-45.256 0l-45.254 45.254c-12.496 12.496-12.496 32.758 0 45.254l208 208c12.498 12.498 32.758 12.498 45.256 0.002z\"><\/path><\/svg><span class=\"gspb_iconsList__item__text\">string failures<\/span><\/div><div class=\"gspb_iconsList__item\" data-id=\"3\"><svg class=\"\" style=\"display:inline-block;vertical-align:middle\" width=\"18\" height=\"18\" viewBox=\"0 0 1024 1024\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path style=\"fill:#565D66\" d=\"M1008 512c0 273.934-222.066 496-496 496s-496-222.066-496-496 222.066-496 496-496 496 222.066 496 496zM454.628 774.628l368-368c12.496-12.496 12.496-32.758 0-45.254l-45.254-45.254c-12.496-12.498-32.758-12.498-45.256 0l-300.118 300.116-140.118-140.118c-12.496-12.496-32.758-12.496-45.256 0l-45.254 45.254c-12.496 12.496-12.496 32.758 0 45.254l208 208c12.498 12.498 32.758 12.498 45.256 0.002z\"><\/path><\/svg><span class=\"gspb_iconsList__item__text\">other hidden anomalies<\/span><\/div><\/div>\n\n\n\n<div id=\"gspb_text-id-gsbp-3c061a1\" class=\"gspb_text gspb_text-id-gsbp-3c061a1 \">before they escalate into costly downtime.<br>This service helps asset owners maintain optimal efficiency, extend equipment lifespan, and reduce operational losses through early detection and clear diagnostic insights.<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n<div class=\"wp-block-greenshift-blocks-row gspb_row gspb_row-id-gsbp-61aca28 gspb_row--gutter-custom-0\" id=\"gspb_row-id-gsbp-61aca28\"><div class=\"gspb_row__content\"> \n<div class=\"wp-block-greenshift-blocks-row-column gspb_row__col--8 gspb_col-id-gsbp-9bb8c2f\" id=\"gspb_col-id-gsbp-9bb8c2f\"><\/div>\n\n\n\n<div class=\"wp-block-greenshift-blocks-row-column gspb_row__col--4 gspb_col-id-gsbp-0bd36e9\" id=\"gspb_col-id-gsbp-0bd36e9\">\n<div class=\"wp-block-greenshift-blocks-container gspb_container gspb_container-gsbp-1330d8c border-animation\" id=\"gspb_container-id-gsbp-1330d8c\">\n<h4 id=\"gspb_heading-id-gsbp-555f410\" class=\"gspb_heading gspb_heading-id-gsbp-555f410 \"><strong><strong>Example outputs<\/strong><\/strong><\/h4>\n\n\n\n<p id=\"gspb_text-id-gsbp-26ce6c0\" class=\"gspb_text gspb_text-id-gsbp-26ce6c0 \">We use object detection, segmentation, anomaly detection, and classification models trained on domain-specific datasets. Accuracy is continuously improved through feedback loops and real-world data integration.<\/p>\n<\/div>\n<\/div>\n <\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_gspb_post_css":"#gspb_row-id-gsbp-f54e2ab{justify-content:space-between;margin-top:0;margin-bottom:0;display:flex;flex-wrap:wrap;padding-top:60px}#gspb_row-id-gsbp-f54e2ab>.gspb_row__content{display:flex;justify-content:space-between;margin:0 auto;width:100%;flex-wrap:wrap;row-gap:40px}div[id^=gspb_col-id]{box-sizing:border-box;position:relative}body.gspb-bodyfront #gspb_row-id-gsbp-f54e2ab>.gspb_row__content{width:var(--theme-container-width, 1200px);max-width:var(--theme-normal-container-max-width, 1200px)}#gspb_col-id-gsbp-45da077.gspb_row__col--8{width:66.66666666666667%}@media (max-width:575.98px){#gspb_col-id-gsbp-45da077.gspb_row__col--8{width:100%}}#gspb_col-id-gsbp-45da077.gspb_row__col--8{flex-direction:column}body #gspb_col-id-gsbp-45da077.gspb_row__col--8{display:flex;flex-direction:column}.gspb_container-id-gsbp-178d18d,.gspb_container-id-gsbp-d49d578{flex-direction:column;box-sizing:border-box}#gspb_container-id-gsbp-1330d8c.gspb_container>p:last-of-type,#gspb_container-id-gsbp-178d18d.gspb_container>p:last-of-type,#gspb_container-id-gsbp-26194c9.gspb_container>p:last-of-type,#gspb_container-id-gsbp-ac836e4.gspb_container>p:last-of-type,#gspb_container-id-gsbp-ce60644.gspb_container>p:last-of-type,#gspb_container-id-gsbp-d49d578.gspb_container>p:last-of-type{margin-bottom:0}#gspb_container-id-gsbp-178d18d.gspb_container,#gspb_container-id-gsbp-d49d578.gspb_container{position:relative}#gspb_container-id-gsbp-178d18d.gspb_container{padding-top:25px}#gspb_button-id-gsbp-b7e853b{display:flex;justify-content:flex-start}#gspb_button-id-gsbp-b7e853b .gspb-buttonbox-text{display:flex;flex-direction:column}#gspb_button-id-gsbp-b7e853b>.gspb-buttonbox{box-sizing:border-box}#gspb_button-id-gsbp-b7e853b>.gspb-buttonbox>.gspb-buttonbox-textwrap>.gspb-buttonbox-icon{display:flex}#gspb_button-id-gsbp-b7e853b>.gspb-buttonbox .gspb-buttonbox-icon svg,#gspb_button-id-gsbp-b7e853b>.gspb-buttonbox .gspb-buttonbox-icon svg path{fill:currentColor!important}#gspb_button-id-gsbp-b7e853b>.gspb-buttonbox>.gspb-buttonbox-textwrap{display:flex;flex-direction:row;align-items:center}#gspb_button-id-gsbp-b7e853b .gspb-buttonbox-icon{margin-left:13px}#gspb_button-id-gsbp-b7e853b>.gspb-buttonbox{margin-top:25px}#gspb_col-id-gsbp-4ac55fb.gspb_row__col--4{width:33.333333333333336%}@media (max-width:575.98px){#gspb_col-id-gsbp-4ac55fb.gspb_row__col--4{width:100%}}#gspb_col-id-gsbp-4ac55fb.gspb_row__col--4{background-size:cover;background-repeat:no-repeat;background-position:45% 29%;background-image:url(https:\/\/thermovisio.es\/wp-content\/uploads\/2025\/12\/thermovisio-ai-diagnostics-neural-network-anomaly-detection.png)}#gspb_col-id-gsbp-4ac55fb.gspb_row__col--4:hover{background-size:cover}#gspb_col-id-gsbp-4ac55fb.gspb_row__col--4,#gspb_col-id-gsbp-4ac55fb.gspb_row__col--4>.gspb_backgroundOverlay,#gspb_container-id-gsbp-26194c9.gspb_container>.gspb_backgroundOverlay,#gspb_container-id-gsbp-ac836e4.gspb_container>.gspb_backgroundOverlay,#gspb_container-id-gsbp-ce60644.gspb_container>.gspb_backgroundOverlay{border-top-left-radius:12px;border-top-right-radius:12px;border-bottom-right-radius:12px;border-bottom-left-radius:12px}#gspb_row-id-gsbp-30814f4{justify-content:space-between;display:flex;flex-wrap:wrap;margin-top:50px;margin-bottom:0}#gspb_row-id-gsbp-30814f4>.gspb_row__content{display:flex;justify-content:space-between;margin:0 auto;width:100%;row-gap:40px;flex-wrap:wrap}#gspb_col-id-gsbp-26287bc.gspb_row__col--6{width:calc(50% - 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