{"id":1485,"date":"2026-02-23T05:46:55","date_gmt":"2026-02-23T05:46:55","guid":{"rendered":"https:\/\/www.aknitech.in\/blog\/?p=1485"},"modified":"2026-02-23T05:46:55","modified_gmt":"2026-02-23T05:46:55","slug":"smart-factory-ai-iot-industry-5-0-explained","status":"publish","type":"post","link":"https:\/\/www.aknitech.in\/blog\/smart-factory-ai-iot-industry-5-0-explained\/","title":{"rendered":"What Is a Smart Factory? Role of AI, IoT &amp; Industry 5.0 Explained"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><strong>The Evolution of Modern Manufacturing<\/strong><\/h2>\n\n\n\n<p>Manufacturing is no longer defined only by machines, output, and labor efficiency. It is now defined by intelligence, connectivity, and adaptability. This transformation has given rise to the concept of the <strong>Smart Factory<\/strong>, where digital technologies integrate seamlessly with physical production systems. Over the previous decade, global forums, top advisory firms, and technology giants such as Siemens have persistently underscored the role of digital transformation as essential to industrial competitiveness.<\/p>\n\n\n\n<p>For operations managers, automation engineers, and supply chain leaders, the real strategic question is:<\/p>\n\n\n\n<p><strong>What is a smart factory, and how does it transform operational performance?<\/strong><\/p>\n\n\n\n<p>The answer lies in the integration of AI, IoT, smart sensors, and human-centric design under the framework of Industry 5.0.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Is a Smart Factory?<\/strong><\/h2>\n\n\n\n<p>A <strong>Smart Factory<\/strong> is an advanced manufacturing environment where machines, systems, and people are digitally connected to enable real-time monitoring, autonomous decision-making, and continuous optimization through <strong>data-driven manufacturing<\/strong>.<\/p>\n\n\n\n<p>In simple terms, when asking <strong>what is smart factory<\/strong>, it refers to a production ecosystem that:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Collects real-time operational data<br><\/li>\n\n\n\n<li>Uses AI to analyze patterns<br><\/li>\n\n\n\n<li>Predicts failures before they occur<br><\/li>\n\n\n\n<li>Enables <strong>human-machine collaboration<\/strong><strong><br><\/strong><\/li>\n\n\n\n<li>Continuously improves performance<br><\/li>\n<\/ul>\n\n\n\n<p>Unlike traditional automation systems that follow fixed logic, a Smart Factory adapts based on insights.<\/p>\n\n\n\n<p>That adaptability is the defining difference.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Core Technologies in a Smart Factory<\/strong><\/h2>\n\n\n\n<p>A Smart Factory explained without understanding its technology stack would be incomplete. Below are the foundational pillars.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>AI Automation<\/strong><\/h3>\n\n\n\n<p>Traditional automation executes predefined programs. <strong>AI Automation<\/strong> learns from data and adjusts dynamically.<\/p>\n\n\n\n<p>Key capabilities include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Predictive maintenance modeling<br><\/li>\n\n\n\n<li>Automated quality inspection using computer vision<br><\/li>\n\n\n\n<li>Production scheduling optimization<br><\/li>\n\n\n\n<li>Intelligent energy management<br><\/li>\n<\/ul>\n\n\n\n<p>The shift from rule-based control to AI-based intelligence is what transforms automation into smart manufacturing.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Machine Learning in Manufacturing<\/strong><\/h3>\n\n\n\n<p><a href=\"https:\/\/www.aknitech.in\/blog\/how-scada-data-analytics-works\/\"><strong>Machine Learning in Manufacturing<\/strong><\/a> allows systems to improve over time using historical and live production data.<\/p>\n\n\n\n<p>Applications include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Defect detection through pattern recognition<br><\/li>\n\n\n\n<li>Equipment failure forecasting<br><\/li>\n\n\n\n<li>Demand prediction in supply chains<br><\/li>\n\n\n\n<li>Yield optimization<br><\/li>\n<\/ul>\n\n\n\n<p>For example, vibration data from rotating equipment can train algorithms to detect anomalies weeks before mechanical breakdown occurs.<\/p>\n\n\n\n<p>This enables proactive decision-making rather than reactive troubleshooting.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>IoT in Industrial Context (IO Meaning Explained)<\/strong><\/h3>\n\n\n\n<p>IoT stands for Internet of Things &#8211; a network of connected devices that collect and exchange data.<\/p>\n\n\n\n<p>In industrial automation, <strong>IO meaning<\/strong> refers to <strong>Input\/Output systems<\/strong>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Input (I):<\/strong> Signals from field devices such as sensors<br><\/li>\n\n\n\n<li><strong>Output (O):<\/strong> Commands sent to actuators like motors and valves<br><\/li>\n<\/ul>\n\n\n\n<p>An IO sensor captures physical parameters such as:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Temperature<br><\/li>\n\n\n\n<li>Pressure<br><\/li>\n\n\n\n<li>Flow<br><\/li>\n\n\n\n<li>Vibration<br><\/li>\n\n\n\n<li>Proximity<br><\/li>\n<\/ul>\n\n\n\n<p>In a Smart Factory, IoT enables:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Remote equipment monitoring<br><\/li>\n\n\n\n<li>Real-time production visibility<br><\/li>\n\n\n\n<li>Cross-system communication<br><\/li>\n\n\n\n<li>Automated control adjustments<br><\/li>\n<\/ul>\n\n\n\n<p>Without IoT-enabled IO architecture, real-time intelligence is not possible.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Smart Sensors<\/strong><\/h3>\n\n\n\n<p><a href=\"https:\/\/www.aknitech.in\/products\/plc-module-bhopal.html\"><strong>Smart Sensors<\/strong><\/a> are enhanced devices capable of digital communication and onboard diagnostics.<\/p>\n\n\n\n<p>Unlike conventional sensors, they:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Self-calibrate<br><\/li>\n\n\n\n<li>Provide diagnostic alerts<br><\/li>\n\n\n\n<li>Communicate via industrial protocols<br><\/li>\n\n\n\n<li>Enable predictive insights<br><\/li>\n<\/ul>\n\n\n\n<p>Smart sensors form the foundation of reliable <strong>data-driven manufacturing<\/strong>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Automation Integration<\/strong><\/h3>\n\n\n\n<p>A Smart Factory requires seamless<a href=\"https:\/\/www.aknitech.in\/services\/process-automation-services-bhopal.html\"> <strong>Automation Integration<\/strong> <\/a>across:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>PLC systems<br><\/li>\n\n\n\n<li>SCADA platforms<br><\/li>\n\n\n\n<li>MES solutions<br><\/li>\n\n\n\n<li>ERP systems<br><\/li>\n\n\n\n<li>Robotics<br><\/li>\n\n\n\n<li>Quality systems<br><\/li>\n<\/ul>\n\n\n\n<p>When systems operate in silos, data is fragmented. Integration ensures complete production visibility from raw material to finished goods.<\/p>\n\n\n\n<p>Integration is not optional &#8211; it is structural.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Digital Twin Technology<\/strong><\/h3>\n\n\n\n<p>One of the most transformative enablers of Smart Factory Industry 5.0 is the <strong>Digital Twin<\/strong>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Is Digital Twin?<\/strong><\/h2>\n\n\n\n<p>A <strong>Digital Twin<\/strong> is a real-time virtual replica of a physical asset, process, or entire production line.<\/p>\n\n\n\n<p>It continuously updates using live operational data.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/www.aknitech.in\/blog\/wp-content\/uploads\/2026\/02\/image.png\" alt=\"Digital Twin in Smart Factory\" class=\"wp-image-1488\" style=\"width:155px;height:auto\" srcset=\"https:\/\/www.aknitech.in\/blog\/wp-content\/uploads\/2026\/02\/image.png 1024w, https:\/\/www.aknitech.in\/blog\/wp-content\/uploads\/2026\/02\/image-300x300.png 300w, https:\/\/www.aknitech.in\/blog\/wp-content\/uploads\/2026\/02\/image-150x150.png 150w, https:\/\/www.aknitech.in\/blog\/wp-content\/uploads\/2026\/02\/image-768x768.png 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>This allows manufacturers to:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Simulate process changes before implementation<br><\/li>\n\n\n\n<li>Predict system failures<br><\/li>\n\n\n\n<li>Optimize layouts and capacity<br><\/li>\n\n\n\n<li>Reduce commissioning risks<br><\/li>\n<\/ul>\n\n\n\n<p>For example, before expanding a production line, engineers can test throughput scenarios in a digital twin environment.<\/p>\n\n\n\n<p>This minimizes downtime and investment uncertainty.<\/p>\n\n\n\n<p>Digital twin technology connects real-world systems with their digital counterparts.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Impact of AI on Manufacturing Operations<\/strong><\/h2>\n\n\n\n<p>AI is influencing every operational layer.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Production Optimization<\/strong><\/h3>\n\n\n\n<p>AI adjusts process parameters dynamically to maximize throughput and minimize waste.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Quality Assurance<\/strong><\/h3>\n\n\n\n<p>Vision systems detect micro-defects that human inspection may miss.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Supply Chain Resilience<\/strong><\/h3>\n\n\n\n<p>Machine learning models forecast disruptions and optimize procurement strategies.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Energy Management<\/strong><\/h3>\n\n\n\n<p>AI identifies consumption patterns and reduces peak loads.<\/p>\n\n\n\n<p>This evolution strengthens operational resilience and enhances competitiveness.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Industry 4.0 vs Industry 5.0<\/strong><\/h2>\n\n\n\n<p>The evolution from Industry 4.0 to <strong>Smart Factory Industry 5.0<\/strong> marks a shift from automation-centric to human-centric manufacturing.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td><strong>Feature<\/strong><\/td><td><strong>Industry 4.0<\/strong><\/td><td><strong>Industry 5.0<\/strong><\/td><\/tr><tr><td>Focus<\/td><td>Connectivity &amp; Automation<\/td><td>Human-machine collaboration<\/td><\/tr><tr><td>Intelligence<\/td><td>Data analytics<\/td><td>AI + Human intelligence<\/td><\/tr><tr><td>Worker Role<\/td><td>Supervisory<\/td><td>Collaborative &amp; creative<\/td><\/tr><tr><td>Objective<\/td><td>Efficiency<\/td><td>Resilience &amp; sustainability<\/td><\/tr><tr><td>Customization<\/td><td>Mass customization<\/td><td>Hyper-personalization<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Industry 5.0 builds upon Industry 4.0 &#8211; it does not replace it.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Industry 4.0 in India: Current Landscape &amp; Challenges<\/strong><\/h2>\n\n\n\n<p>India\u2019s manufacturing ecosystem is steadily progressing toward Industry 4.0 adoption, particularly across automotive, pharmaceuticals, electronics, and fast-moving consumer goods sectors. Large enterprises are investing in connected production lines, <a href=\"https:\/\/www.aknitech.in\/services\/network-industries-bhopal.html\"><strong>IoT-enabled monitoring<\/strong><\/a>, and data-driven manufacturing platforms to remain globally competitive. Government initiatives promoting domestic manufacturing and digital infrastructure are further accelerating this transition. However, the adoption landscape remains uneven. Many facilities still operate with legacy PLC and SCADA systems that were not originally designed for seamless automation integration. Skill gaps in AI, machine learning in manufacturing, and cybersecurity continue to slow implementation at scale. Additionally, capital investment concerns and uncertainty around measurable ROI create hesitation among mid-sized manufacturers. Organizational resistance to change and limited cross-functional digital expertise also present structural barriers. Despite these challenges, competitive pressure from global supply chains and export markets is pushing Indian manufacturers toward structured digital transformation strategies, positioning Industry 4.0 as a necessity rather than an option.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Human-Machine Collaboration in Industry 5.0<\/strong><\/h2>\n\n\n\n<p>A defining feature of Industry 5.0 is <strong>Human-Machine Collaboration<\/strong>.<\/p>\n\n\n\n<p>Examples include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Cobots assisting operators<br><\/li>\n\n\n\n<li>AI decision-support systems guiding engineers<br><\/li>\n\n\n\n<li>Augmented reality aiding maintenance teams<br><\/li>\n<\/ul>\n\n\n\n<p>The goal is augmentation, not replacement.<\/p>\n\n\n\n<p>Machines handle precision and speed.<br>Humans provide judgment and contextual intelligence.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Role of an Automation Engineer in Smart Factories<\/strong><\/h2>\n\n\n\n<p>The automation engineer\u2019s role is evolving significantly.<\/p>\n\n\n\n<p>In a Smart Factory environment, engineers must:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Design scalable automation architecture<br><\/li>\n\n\n\n<li>Implement smart sensors and IO systems<br><\/li>\n\n\n\n<li>Integrate PLC, SCADA, MES, and ERP systems<br><\/li>\n\n\n\n<li>Apply machine learning in manufacturing<br><\/li>\n\n\n\n<li>Ensure cybersecurity compliance<br><\/li>\n<\/ul>\n\n\n\n<p>They are no longer just programmers &#8211; they are digital transformation architects.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Smart Factory Implementation: Practical Guidance<\/strong><\/h2>\n\n\n\n<p>Adoption must be strategic.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 1: Conduct an Automation Audit<\/strong><\/h3>\n\n\n\n<p>The first step toward Smart Factory transformation is conducting a comprehensive automation audit. This process involves evaluating the current state of <a href=\"https:\/\/aknitech.in\/services\/programmable-logic-controllers-bhopal.html\"><strong>PLC systems<\/strong><\/a>, SCADA architecture, MES connectivity, data acquisition capabilities, and sensor infrastructure. An automation audit identifies where data is being generated, where it is lost, and where integration gaps exist across production, maintenance, and quality systems. It also assesses cybersecurity readiness and network reliability. Beyond technical infrastructure, the audit should evaluate workforce capabilities and digital maturity across departments. The goal is not simply to catalog equipment but to understand operational bottlenecks, downtime patterns, data accessibility, and integration feasibility. A structured audit provides the foundation for prioritizing investments, defining measurable KPIs, and aligning digital initiatives with business objectives rather than adopting technology without strategic clarity.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 2: Define Business Objectives<\/strong><\/h3>\n\n\n\n<p>Examples:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reduce downtime by predictive maintenance<br><\/li>\n\n\n\n<li>Improve first-pass yield<br><\/li>\n\n\n\n<li>Optimize energy consumption<br><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 3: Start with Pilot Projects<\/strong><\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.aknitech.in\/products\/mis-software-bhopal.html\"><strong>Implement Predictive Maintenance<\/strong> <\/a>on critical assets<br><\/li>\n\n\n\n<li>Deploy smart sensors in bottleneck areas<br><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 4: Ensure Scalable Automation Integration<\/strong><\/h3>\n\n\n\n<p>Avoid isolated technology deployments.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Step 5: Train the Workforce<\/strong><\/h3>\n\n\n\n<p>Enable effective human-machine collaboration.<\/p>\n\n\n\n<p>Phased transformation reduces risk and improves ROI visibility.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Benefits of Data-Driven Manufacturing<\/strong><\/h2>\n\n\n\n<p>When properly implemented, <strong>data-driven manufacturing<\/strong> delivers:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Reduced unplanned downtime<br><\/li>\n\n\n\n<li>Improved quality consistency<br><\/li>\n\n\n\n<li>Real-time performance monitoring<br><\/li>\n\n\n\n<li>Faster root cause analysis<br><\/li>\n\n\n\n<li>Enhanced supply chain visibility<br><\/li>\n\n\n\n<li>Better regulatory compliance<br><\/li>\n<\/ul>\n\n\n\n<p>Operational intelligence leads to sustainable improvement.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Challenges &amp; Risks in Smart Factory Adoption<\/strong><\/h2>\n\n\n\n<p>Transformation also involves risks:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Cybersecurity vulnerabilities<br><\/li>\n\n\n\n<li>Data governance issues<br><\/li>\n\n\n\n<li>Integration complexity<br><\/li>\n\n\n\n<li>Cultural resistance<br><\/li>\n\n\n\n<li>ROI measurement challenges<br><\/li>\n<\/ul>\n\n\n\n<p>Successful implementation requires leadership commitment and clear KPIs.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion: The Future of Smart Manufacturing<\/strong><\/h2>\n\n\n\n<p>So ultimately, <strong>what is a smart factory<\/strong>?<\/p>\n\n\n\n<p>The future of manufacturing will not be defined solely by automation, but by intelligence, adaptability, and human-centric design. Smart manufacturing integrates AI automation, IoT-enabled IO systems, digital twin technology, and data-driven manufacturing principles to create resilient and responsive production ecosystems. As Industry 5.0 advances, human-machine collaboration will become central to operational excellence, balancing technological precision with human judgment and creativity. Organizations that approach this transformation strategically-beginning with automation audits, scaling through structured pilot projects, and aligning investments with measurable outcomes-will gain sustainable competitive advantage. The path forward is not about replacing people with machines; it is about building intelligent systems that empower people to make better decisions, reduce risk, and drive continuous improvement. Manufacturers who embrace this evolution thoughtfully will define the next era of global industrial leadership. As Smart Factory Industry&nbsp; 5.0 evolves, the manufacturers who approach transformation strategically &#8211; rather than reactively &#8211; will lead global markets.<\/p>\n\n\n\n<p>The opportunity is not just automation.<br>The opportunity is intelligent, resilient, human-centered production.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\"><strong>FAQs<\/strong><\/h1>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. What is smart factory in simple words?<\/strong><\/h3>\n\n\n\n<p>A Smart Factory is a digitally connected manufacturing system that uses AI and IoT to optimize operations in real time.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. How is machine learning used in manufacturing?<\/strong><\/h3>\n\n\n\n<p>It enables predictive maintenance, defect detection, demand forecasting, and process optimization.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. What is digital twin technology?<\/strong><\/h3>\n\n\n\n<p>A digital twin is a real-time virtual replica of physical equipment used for simulation and predictive analysis.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. What is the difference between Industry 4.0 and Industry 5.0?<\/strong><\/h3>\n\n\n\n<p>Industry 4.0 focuses on connectivity and automation, while Industry 5.0 emphasizes human-machine collaboration and sustainability.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. What are the first steps to implement a Smart Factory?<\/strong><\/h3>\n\n\n\n<p>Start with automation maturity assessment, define clear KPIs, deploy pilot projects, and build scalable automation integration.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Evolution of Modern Manufacturing Manufacturing is no longer defined only by machines, output, and labor efficiency. It is now defined by intelligence, connectivity, and adaptability. This transformation has given rise to the concept of the Smart Factory, where digital technologies integrate seamlessly with physical production systems. Over the previous decade, global forums, top advisory [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1486,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1485","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aknitech"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.aknitech.in\/blog\/wp-json\/wp\/v2\/posts\/1485","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aknitech.in\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aknitech.in\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aknitech.in\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aknitech.in\/blog\/wp-json\/wp\/v2\/comments?post=1485"}],"version-history":[{"count":1,"href":"https:\/\/www.aknitech.in\/blog\/wp-json\/wp\/v2\/posts\/1485\/revisions"}],"predecessor-version":[{"id":1489,"href":"https:\/\/www.aknitech.in\/blog\/wp-json\/wp\/v2\/posts\/1485\/revisions\/1489"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aknitech.in\/blog\/wp-json\/wp\/v2\/media\/1486"}],"wp:attachment":[{"href":"https:\/\/www.aknitech.in\/blog\/wp-json\/wp\/v2\/media?parent=1485"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aknitech.in\/blog\/wp-json\/wp\/v2\/categories?post=1485"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aknitech.in\/blog\/wp-json\/wp\/v2\/tags?post=1485"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}