{"id":6702,"date":"2025-12-17T17:07:51","date_gmt":"2025-12-17T09:07:51","guid":{"rendered":"https:\/\/visionsafetys.com\/?p=6702"},"modified":"2025-12-17T17:07:51","modified_gmt":"2025-12-17T09:07:51","slug":"what-is-a-driver-behavior-monitoring-system-and-how-does-it-work-in-commercial-vehicles","status":"publish","type":"post","link":"https:\/\/visionsafetys.com\/ar\/what-is-a-driver-behavior-monitoring-system-and-how-does-it-work-in-commercial-vehicles\/","title":{"rendered":"<strong>What is a Driver Behavior Monitoring System and How Does It Work in Commercial Vehicles?<\/strong>"},"content":{"rendered":"<p>Every year, I still see preventable crashes drain budgets and morale. Fatigue and distraction creep in, and then cost shows up. Waiting to act always hurts more.<\/p>\n<p>A Driver Behavior Monitoring System uses inward-facing cameras and AI to detect risky driver actions in real time. It warns the driver, records the event, and gives managers clear data to coach and prevent accidents.<\/p>\n<p><figure><img decoding=\"async\" src=\"https:\/\/visionsafetys.com\/wp-content\/uploads\/2025\/12\/driver_behavior_monitoring_system_overview_prompt-_commercial_vehicle_cabin_interior_with_an_inward_5d232o42kif8xym0z6w1_0.webp\" alt=\"driver behavior monitoring system overview\"><figcaption>Driver Behavior Monitoring System Overview<\/figcaption><\/figure>\n<\/p>\n<p>I remember when a fleet manager asked why crashes continued with dash cams in place. The answer felt obvious once we looked at the data. A road-facing video tells a story after the fact. A driver-facing model changes behavior before the impact. That shift changes outcomes, not just reports.<\/p>\n<style>\n.box {\n  position: relative;\n  border-radius: 16px;\n  padding: 30px 28px;\n  margin-bottom: 24px;\n  background: #fde2e2;\n  overflow: hidden;\n}\n.box--false {\n  background: #fde2e2;\n}\n.box--true {\n  background: #dbf3e1;\n}\n.box-title {\n  font-size: 1.0em;   \/* <== &#36827;&#19968;&#27493;&#20943;&#23567;&#26631;&#39064;&#22823;&#23567; *\/\n  font-weight: bold;\n  line-height: 1.2;\n  margin-bottom: 14px;\n}\n.box--false .box-title {\n  color: #c20000;\n}\n.box--true .box-title {\n  color: #218838;\n}\n.box-text {\n  font-size: 1em;          \n  color: #b35d5d;\n  margin-bottom: 0;\n}\n.box--true .box-text {\n  color: #218838;\n}\n.box .bgicon {\n  position: absolute;\n  right: 28px;\n  bottom: 24px;\n  width: 104px;\n  height: 104px;\n  opacity: 0.11;\n  pointer-events: none;\n}\n<\/style>\n<div class=\"box box--false\">\n  <svg class=\"bgicon\" viewbox=\"0 0 100 100\">\n    <circle cx=\"50\" cy=\"50\" r=\"35\" stroke=\"#ff2a13\" stroke-width=\"6\" fill=\"none\"><\/circle>\n    <line x1=\"35\" y1=\"35\" x2=\"65\" y2=\"65\" stroke=\"#ff2a13\" stroke-width=\"6\" stroke-linecap=\"round\"><\/line>\n    <line x1=\"65\" y1=\"35\" x2=\"35\" y2=\"65\" stroke=\"#ff2a13\" stroke-width=\"6\" stroke-linecap=\"round\"><\/line>\n  <\/svg><\/p>\n<div class=\"box-title\">Is a driver behavior monitoring system just a dash cam with a fancy new name? False<\/div>\n<div class=\"box-text\">No. Dash cams record the road. Behavior monitoring analyzes the driver in real time.<\/div>\n<\/div>\n<div class=\"box box--true\">\n  <svg class=\"bgicon\" viewbox=\"0 0 100 100\">\n    <circle cx=\"50\" cy=\"50\" r=\"35\" stroke=\"#21a838\" stroke-width=\"6\" fill=\"none\"><\/circle>\n    <polyline points=\"30,55 48,72 72,38\" fill=\"none\" stroke=\"#21a838\" stroke-width=\"6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/polyline>\n  <\/svg><\/p>\n<div class=\"box-title\">Can a Driver Behavior Monitoring System really detect risks before an accident happens? True<\/div>\n<div class=\"box-text\">Yes. It works in real time and gives preventive alerts, not just recorded evidence after the incident.<\/div>\n<\/div>\n<h2>What problems does a Driver Behavior Monitoring System actually solve?<\/h2>\n<p>Many fleets use dash cams and still feel stuck. The video is clear, but the risk stays. Managers only learn after the damage lands.<\/p>\n<p>A Driver Behavior Monitoring System detects fatigue, distraction, smoking, phone use, and poor posture in the moment. It warns the driver, flags the event, and lets managers fix habits before they grow into losses.<\/p>\n<p><figure><img decoding=\"async\" src=\"https:\/\/visionsafetys.com\/wp-content\/uploads\/2025\/12\/dms.webp\" alt=\"driver behavior risk detection\"><figcaption>Driver Behavior Risk Detection<\/figcaption><\/figure>\n<\/p>\n<p>When I explain the difference, this is where things click. Dash cams explain what happened. Behavior systems explain why and how to stop it next time. The system watches the human side with a driver camera, AI models, and rules tuned to real routes, daylight changes, and seat positions in different vehicles.<\/p>\n<h3>Common Fleet Problems vs System Capabilities<\/h3>\n<table>\n<thead>\n<tr>\n<th>Fleet Problem<\/th>\n<th>Traditional Dash Cam<\/th>\n<th>Behavior Monitoring System<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Driver fatigue<\/td>\n<td>No detection<\/td>\n<td>Real-time fatigue alerts<\/td>\n<\/tr>\n<tr>\n<td>Phone distraction<\/td>\n<td>Manual review<\/td>\n<td>Automatic AI detection<\/td>\n<\/tr>\n<tr>\n<td>Risky habits<\/td>\n<td>Post-incident analysis<\/td>\n<td>Preventive warnings<\/td>\n<\/tr>\n<tr>\n<td>Training feedback<\/td>\n<td>Limited<\/td>\n<td>Data-based coaching<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>From my projects, the best buyers move beyond pixel talk. They ask about detection accuracy, false positives, and alert speed. That change in questions often leads to better rollouts and faster ROI.<\/p>\n<style>\n.box {\n  position: relative;\n  border-radius: 16px;\n  padding: 30px 28px;\n  margin-bottom: 24px;\n  background: #fde2e2;\n  overflow: hidden;\n}\n.box--false {\n  background: #fde2e2;\n}\n.box--true {\n  background: #dbf3e1;\n}\n.box-title {\n  font-size: 1.0em;   \/* <== &#36827;&#19968;&#27493;&#20943;&#23567;&#26631;&#39064;&#22823;&#23567; *\/\n  font-weight: bold;\n  line-height: 1.2;\n  margin-bottom: 14px;\n}\n.box--false .box-title {\n  color: #c20000;\n}\n.box--true .box-title {\n  color: #218838;\n}\n.box-text {\n  font-size: 1em;          \n  color: #b35d5d;\n  margin-bottom: 0;\n}\n.box--true .box-text {\n  color: #218838;\n}\n.box .bgicon {\n  position: absolute;\n  right: 28px;\n  bottom: 24px;\n  width: 104px;\n  height: 104px;\n  opacity: 0.11;\n  pointer-events: none;\n}\n<\/style>\n<div class=\"box box--false\">\n  <svg class=\"bgicon\" viewbox=\"0 0 100 100\">\n    <circle cx=\"50\" cy=\"50\" r=\"35\" stroke=\"#ff2a13\" stroke-width=\"6\" fill=\"none\"><\/circle>\n    <line x1=\"35\" y1=\"35\" x2=\"65\" y2=\"65\" stroke=\"#ff2a13\" stroke-width=\"6\" stroke-linecap=\"round\"><\/line>\n    <line x1=\"65\" y1=\"35\" x2=\"35\" y2=\"65\" stroke=\"#ff2a13\" stroke-width=\"6\" stroke-linecap=\"round\"><\/line>\n  <\/svg><\/p>\n<div class=\"box-title\">Does the system invade driver privacy by recording everything? False<\/div>\n<div class=\"box-text\">No. Most systems analyze data locally and upload only event clips, not full-time footage.<\/div>\n<\/div>\n<div class=\"box box--true\">\n  <svg class=\"bgicon\" viewbox=\"0 0 100 100\">\n    <circle cx=\"50\" cy=\"50\" r=\"35\" stroke=\"#21a838\" stroke-width=\"6\" fill=\"none\"><\/circle>\n    <polyline points=\"30,55 48,72 72,38\" fill=\"none\" stroke=\"#21a838\" stroke-width=\"6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/polyline>\n  <\/svg><\/p>\n<div class=\"box-title\">Does the system help fleet managers understand why accidents happen? True<\/div>\n<div class=\"box-text\">Yes. It identifies behavioral patterns such as fatigue, distraction, or phone use, which explains the root causes..<\/div>\n<\/div>\n<h2>How does a Driver Behavior Monitoring System work step by step?<\/h2>\n<p>Many teams think it is just another camera. That idea leads to poor choices and missed value.<\/p>\n<p>A Driver Behavior Monitoring System links hardware, AI, and data into one loop that runs through every trip, in any light, and with each driver\u2019s unique style.<\/p>\n<p><figure><img decoding=\"async\" src=\"https:\/\/visionsafetys.com\/wp-content\/uploads\/2025\/12\/driver_monitoring_workflow_prompt-_five-step_visual_workflow_diagram_set_over_a_semi-transparent_co_yudtyx6fjidmqw3mcs6d_0.webp\" alt=\"driver monitoring workflow\"><figcaption>Driver Monitoring Workflow<\/figcaption><\/figure>\n<\/p>\n<p>I keep the flow simple when I explain it on site. A driver-facing camera captures face, eyes, head, and body posture. The AI runs on the device or in the cloud. It compares live signals to risk patterns. If it spots trouble, it alerts the driver and logs the event.<\/p>\n<h3>Core Workflow Breakdown<\/h3>\n<ol>\n<li>The cabin camera captures images and short video.<\/li>\n<li>The AI extracts eyes, head pose, and hand signals.<\/li>\n<li>The model compares signals to risk patterns in milliseconds.<\/li>\n<li>The device plays audio or visual alerts to the driver.<\/li>\n<li>The system uploads events and scores for review.<\/li>\n<\/ol>\n<p>This loop must be fast. A late alert helps less. The best results land when the warning fires in under one second. Many cheap devices lag and flood managers with noise. I test alert time with a stopwatch during demos. That simple test avoids bad bets.<\/p>\n<style>\n.box {\n  position: relative;\n  border-radius: 16px;\n  padding: 30px 28px;\n  margin-bottom: 24px;\n  background: #fde2e2;\n  overflow: hidden;\n}\n.box--false {\n  background: #fde2e2;\n}\n.box--true {\n  background: #dbf3e1;\n}\n.box-title {\n  font-size: 1.0em;   \/* <== &#36827;&#19968;&#27493;&#20943;&#23567;&#26631;&#39064;&#22823;&#23567; *\/\n  font-weight: bold;\n  line-height: 1.2;\n  margin-bottom: 14px;\n}\n.box--false .box-title {\n  color: #c20000;\n}\n.box--true .box-title {\n  color: #218838;\n}\n.box-text {\n  font-size: 1em;          \n  color: #b35d5d;\n  margin-bottom: 0;\n}\n.box--true .box-text {\n  color: #218838;\n}\n.box .bgicon {\n  position: absolute;\n  right: 28px;\n  bottom: 24px;\n  width: 104px;\n  height: 104px;\n  opacity: 0.11;\n  pointer-events: none;\n}\n<\/style>\n<div class=\"box box--false\">\n  <svg class=\"bgicon\" viewbox=\"0 0 100 100\">\n    <circle cx=\"50\" cy=\"50\" r=\"35\" stroke=\"#ff2a13\" stroke-width=\"6\" fill=\"none\"><\/circle>\n    <line x1=\"35\" y1=\"35\" x2=\"65\" y2=\"65\" stroke=\"#ff2a13\" stroke-width=\"6\" stroke-linecap=\"round\"><\/line>\n    <line x1=\"65\" y1=\"35\" x2=\"35\" y2=\"65\" stroke=\"#ff2a13\" stroke-width=\"6\" stroke-linecap=\"round\"><\/line>\n  <\/svg><\/p>\n<div class=\"box-title\">Do these systems rely only on facial recognition to detect risks? False<\/div>\n<div class=\"box-text\">No. They also analyze eyes, head movement, posture, gestures, and hand-to-object patterns.<\/div>\n<\/div>\n<div class=\"box box--true\">\n  <svg class=\"bgicon\" viewbox=\"0 0 100 100\">\n    <circle cx=\"50\" cy=\"50\" r=\"35\" stroke=\"#21a838\" stroke-width=\"6\" fill=\"none\"><\/circle>\n    <polyline points=\"30,55 48,72 72,38\" fill=\"none\" stroke=\"#21a838\" stroke-width=\"6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/polyline>\n  <\/svg><\/p>\n<div class=\"box-title\">Is AI-based behavior monitoring more effective than relying on drivers\u2019 self-discipline? True<\/div>\n<div class=\"box-text\">Yes. Fleet data shows consistent detection and coaching outperform self-reporting or manual supervision.<\/div>\n<\/div>\n<h2>What behaviors can the system detect in commercial vehicles?<\/h2>\n<p>Some people think it only finds fatigue. Modern AI goes much further, and each fleet can tune it to real risks.<\/p>\n<p>A Driver Behavior Monitoring System can detect fatigue, distraction, phone use, smoking, seatbelt misuse, and more. The exact range depends on the camera view, model tuning, and rules.<\/p>\n<p>In real deployments, I see the detection list evolve. We add new labels as patterns show up on night routes or city runs. Truck fleets, coach buses, and last-mile vans do not share the same risks. The best teams tune models per vehicle type and driving time.<\/p>\n<h3>Typical Detectable Behaviors<\/h3>\n<table>\n<thead>\n<tr>\n<th>Behavior Type<\/th>\n<th>Detection Method<\/th>\n<th>Fleet Value<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Fatigue<\/td>\n<td>Eye closure, yawning<\/td>\n<td>Fewer severe crashes<\/td>\n<\/tr>\n<tr>\n<td>Distraction<\/td>\n<td>Head turn, gaze drift<\/td>\n<td>Higher focus time<\/td>\n<\/tr>\n<tr>\n<td>Phone use<\/td>\n<td>Hand-to-face cues<\/td>\n<td>Policy enforcement<\/td>\n<\/tr>\n<tr>\n<td>Smoking<\/td>\n<td>Gesture and object cues<\/td>\n<td>Safety and compliance<\/td>\n<\/tr>\n<tr>\n<td>Seatbelt misuse<\/td>\n<td>Torso posture<\/td>\n<td>Legal risk reduction<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>I always push for calibration runs. Too many alerts create alert fatigue. Drivers then ignore the signals. Good systems tune sensitivity on live routes, not just in labs. That tuning often cuts false alerts by half within two weeks.<\/p>\n<h2>How is driver behavior data used by fleet managers?<\/h2>\n<p>Some worry about complex dashboards. Others fear pushback from drivers. Both concerns are valid and solvable.<\/p>\n<p>A Driver Behavior Monitoring System turns many small signals into clean insights. It supports coaching, not punishment. It rewards steady progress, not one-time checks.<\/p>\n<p><figure><img decoding=\"async\" src=\"https:\/\/visionsafetys.com\/wp-content\/uploads\/2025\/12\/fleet_behavior_data_dashboard_prompt-_modern_fleet_analytics_dashboard_on_a_large_monitor_in_a_clea_gp2kcdigbb8q4qw7puto_0.webp\" alt=\"fleet behavior data dashboard\"><figcaption>Fleet Behavior Data Dashboard<\/figcaption><\/figure>\n<\/p>\n<p>From what I see, strong teams do not chase daily events. They review weekly and monthly trends. They group drivers by risk score and route type. They make coaching short and clear. Drivers accept it when they see fair rules and helpful feedback.<\/p>\n<h3>Typical Data Usage Scenarios<\/h3>\n<ul>\n<li>Safety scores by driver and route<\/li>\n<li>Weekly trend lines for fatigue and distraction<\/li>\n<li>Coaching lists for repeat risk behaviors<\/li>\n<li>Reports for insurers and compliance teams<\/li>\n<\/ul>\n<p>I once rolled out a simple monthly summary. No fines. No blame. We shared wins and showed what changed. Violations fell the next month. The format stayed, and the results held through peak season.<\/p>\n<style>\n.box {\n  position: relative;\n  border-radius: 16px;\n  padding: 30px 28px;\n  margin-bottom: 24px;\n  background: #fde2e2;\n  overflow: hidden;\n}\n.box--false {\n  background: #fde2e2;\n}\n.box--true {\n  background: #dbf3e1;\n}\n.box-title {\n  font-size: 1.0em;   \/* <== &#36827;&#19968;&#27493;&#20943;&#23567;&#26631;&#39064;&#22823;&#23567; *\/\n  font-weight: bold;\n  line-height: 1.2;\n  margin-bottom: 14px;\n}\n.box--false .box-title {\n  color: #c20000;\n}\n.box--true .box-title {\n  color: #218838;\n}\n.box-text {\n  font-size: 1em;          \n  color: #b35d5d;\n  margin-bottom: 0;\n}\n.box--true .box-text {\n  color: #218838;\n}\n.box .bgicon {\n  position: absolute;\n  right: 28px;\n  bottom: 24px;\n  width: 104px;\n  height: 104px;\n  opacity: 0.11;\n  pointer-events: none;\n}\n<\/style>\n<div class=\"box box--false\">\n  <svg class=\"bgicon\" viewbox=\"0 0 100 100\">\n    <circle cx=\"50\" cy=\"50\" r=\"35\" stroke=\"#ff2a13\" stroke-width=\"6\" fill=\"none\"><\/circle>\n    <line x1=\"35\" y1=\"35\" x2=\"65\" y2=\"65\" stroke=\"#ff2a13\" stroke-width=\"6\" stroke-linecap=\"round\"><\/line>\n    <line x1=\"65\" y1=\"35\" x2=\"35\" y2=\"65\" stroke=\"#ff2a13\" stroke-width=\"6\" stroke-linecap=\"round\"><\/line>\n  <\/svg><\/p>\n<div class=\"box-title\">Does installing the system automatically fix driver behavior without any follow-up? False<\/div>\n<div class=\"box-text\">No. The best results come from combining alerts with coaching, reviews, and clear policies.<\/div>\n<\/div>\n<div class=\"box box--true\">\n  <svg class=\"bgicon\" viewbox=\"0 0 100 100\">\n    <circle cx=\"50\" cy=\"50\" r=\"35\" stroke=\"#21a838\" stroke-width=\"6\" fill=\"none\"><\/circle>\n    <polyline points=\"30,55 48,72 72,38\" fill=\"none\" stroke=\"#21a838\" stroke-width=\"6\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><\/polyline>\n  <\/svg><\/p>\n<div class=\"box-title\">Can the system reduce insurance and operational costs for commercial fleets? True<\/div>\n<div class=\"box-text\">Yes. Lower accident rates often lead to fewer claims, reduced downtime, and better safety compliance.<\/div>\n<\/div>\n<h2>How is this different from a normal dash cam system?<\/h2>\n<p>Teams often price-shop first. That approach misses risk prevention and ends in disappointment after go-live.<\/p>\n<p>A Driver Behavior Monitoring System is proactive. A dash cam is reactive. One steps in before harm. The other records after harm.<\/p>\n<p><figure><img decoding=\"async\" src=\"https:\/\/visionsafetys.com\/wp-content\/uploads\/2025\/12\/driver_monitoring_vs_dash_cam_prompt-_side-by-side_comparison_concept-_left_panel_shows_a_road-faci_40qlor9j1bzvb31icu3a_0.webp\" alt=\"driver monitoring vs dash cam\"><figcaption>Driver Monitoring vs Dash Cam<\/figcaption><\/figure>\n<\/p>\n<p>Dash cams watch the road. Behavior systems watch the driver. Most severe events tie back to human factors. Fleets that frame behavior monitoring as a safety coach, not a spy, win trust and results.<\/p>\n<h3>Key Differences at a Glance<\/h3>\n<table>\n<thead>\n<tr>\n<th>Aspect<\/th>\n<th>Dash Cam<\/th>\n<th>Behavior Monitoring<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Focus<\/td>\n<td>Road events<\/td>\n<td>Driver actions<\/td>\n<\/tr>\n<tr>\n<td>Timing<\/td>\n<td>After incident<\/td>\n<td>Before incident<\/td>\n<\/tr>\n<tr>\n<td>Alerts<\/td>\n<td>Rare<\/td>\n<td>Real-time<\/td>\n<\/tr>\n<tr>\n<td>Coaching value<\/td>\n<td>Limited<\/td>\n<td>High<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>This core difference drives budgets, training plans, and outcomes. It also guides vendor selection, since specs on paper do not reflect live alert quality.<\/p>\n<h2>Conclusion<\/h2>\n<p>A Driver Behavior Monitoring System is more than a camera. It is a preventive safety tool built around understanding human behavior. For commercial vehicles, this shift from recording to predicting risk creates real improvements in safety, cost control, and daily operations.<\/p>\n<p>If your fleet is exploring AI driver monitoring, I am happy to share deeper insights or help you compare different system options. Feel free to contact me if you want recommendations, samples, or a technical explanation tailored to your use case.<\/p>","protected":false},"excerpt":{"rendered":"<p>Every year, I still see preventable crashes drain budgets and morale. Fatigue and distraction creep in, and then cost shows up. Waiting to act always hurts more. A Driver Behavior Monitoring System uses inward-facing cameras and AI to detect risky driver actions in real time. It warns the driver, records the event, and gives managers [&hellip;]<\/p>","protected":false},"author":1,"featured_media":6710,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"none","_seopress_titles_title":"What is a Driver Behavior Monitoring System and How Does It Work in Commercial Vehicles?","_seopress_titles_desc":"Every year, I still see preventable crashes drain budgets and morale. Fatigue and distraction creep in, and then cost shows up. Waiting to act always hurts more.\r\n\r\nA Driver Behavior Monitoring System uses inward-facing cameras and AI to detect risky driver actions in real time. It warns the driver, records the event, and gives managers clear data to coach and prevent accidents.","_seopress_robots_index":"","footnotes":""},"categories":[41],"tags":[],"class_list":["post-6702","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"_links":{"self":[{"href":"https:\/\/visionsafetys.com\/ar\/wp-json\/wp\/v2\/posts\/6702","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/visionsafetys.com\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/visionsafetys.com\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/visionsafetys.com\/ar\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/visionsafetys.com\/ar\/wp-json\/wp\/v2\/comments?post=6702"}],"version-history":[{"count":0,"href":"https:\/\/visionsafetys.com\/ar\/wp-json\/wp\/v2\/posts\/6702\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/visionsafetys.com\/ar\/wp-json\/wp\/v2\/media\/6710"}],"wp:attachment":[{"href":"https:\/\/visionsafetys.com\/ar\/wp-json\/wp\/v2\/media?parent=6702"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/visionsafetys.com\/ar\/wp-json\/wp\/v2\/categories?post=6702"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/visionsafetys.com\/ar\/wp-json\/wp\/v2\/tags?post=6702"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}