{"id":2806,"date":"2025-06-30T10:45:11","date_gmt":"2025-06-30T03:45:11","guid":{"rendered":"https:\/\/filkom.ub.ac.id\/project\/?p=2806"},"modified":"2025-06-30T10:45:11","modified_gmt":"2025-06-30T03:45:11","slug":"smart-surveillance-system-identifikasi-seragam-dan-wajah-berbasis-ai-untuk-keamanan-ruang-alat-lab-res","status":"publish","type":"post","link":"https:\/\/filkom.ub.ac.id\/project\/2025\/06\/smart-surveillance-system-identifikasi-seragam-dan-wajah-berbasis-ai-untuk-keamanan-ruang-alat-lab-res\/","title":{"rendered":"Smart Surveillance System: Identifikasi Seragam Dan Wajah Berbasis AI Untuk Keamanan Ruang Alat LAB RES"},"content":{"rendered":"<h1><span style=\"font-weight: 400\">\ud83e\udd7c <\/span><b>Smart Surveillance System: AI-based Uniform and Face Identification for Lab RES Tool Room Security<\/b><span style=\"font-weight: 400\">\u00a0<\/span><\/h1>\n<h1><span style=\"font-weight: 400\"><img fetchpriority=\"high\" decoding=\"async\" class=\"size-full wp-image-3033 aligncenter\" src=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/Screenshot-2025-06-20-133507-1.png\" alt=\"LabCam\" width=\"701\" height=\"516\" srcset=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/Screenshot-2025-06-20-133507-1.png 701w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/Screenshot-2025-06-20-133507-1-300x221.png 300w\" sizes=\"(max-width: 701px) 100vw, 701px\" \/>\ud83c\udf10 <\/span><b>Project Domain<\/b><span style=\"font-weight: 400\">\u00a0<\/span><\/h1>\n<p style=\"text-align: justify\"><span style=\"font-weight: 400\">Our &#8220;Labcam&#8221; system stands at the forefront of cutting-edge IoT-based smart surveillance and security. We\u2019ve engineered a robust solution specifically designed to fortify the security of the Robotics and Embedded System (RES) Laboratory\u2019s tool room, leveraging the power of Artificial Intelligence for real-time uniform and facial identification.<\/span><\/p>\n<h1><\/h1>\n<h1><span style=\"font-weight: 400\">\ud83e\uddd1\u200d\ud83e\udd1d\u200d\ud83e\uddd1 <\/span><b>Meet Our Team<\/b><\/h1>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">\ud83d\udda5\ufe0f <\/span><b>Website Developer<\/b><span style=\"font-weight: 400\">: AHMAD IZZAT ALBI ISTAFA (225150207111013)<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">\ud83e\udd16 <\/span><b>AI Engineer<\/b><span style=\"font-weight: 400\">: NUR ADIYANTO KUSUMA NUGRAHA (225150301111012)<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">\ud83d\udd27 <\/span><b>Hardware Engineer<\/b><span style=\"font-weight: 400\">: ZAHRA AULIAUL ROHMAN (225150301111015)<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">\ud83e\udd16 <\/span><b>AI Engineer<\/b><span style=\"font-weight: 400\">: ILMAM HASHFI FIRJATULLAH (225150301111016)<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">\ud83d\udd27 <\/span><b>Hardware Engineer \/ 3D Designer<\/b><span style=\"font-weight: 400\">: YUDANERU VEBRIANTO (225150301111019)<\/span><\/li>\n<\/ul>\n<p><img decoding=\"async\" class=\"wp-image-3375 aligncenter\" src=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/Embedded-AI_Kelompok-3_K1B_SMART-SURVEILLANCE-SYSTEM-IDENTIFIKASI-SERAGAM-DAN-WAJAH-BERBASIS-AI-UNTUK-KEAMANAN-RUANG-ALAT-LAB-RES-1.png\" alt=\"\" width=\"688\" height=\"387\" srcset=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/Embedded-AI_Kelompok-3_K1B_SMART-SURVEILLANCE-SYSTEM-IDENTIFIKASI-SERAGAM-DAN-WAJAH-BERBASIS-AI-UNTUK-KEAMANAN-RUANG-ALAT-LAB-RES-1.png 1920w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/Embedded-AI_Kelompok-3_K1B_SMART-SURVEILLANCE-SYSTEM-IDENTIFIKASI-SERAGAM-DAN-WAJAH-BERBASIS-AI-UNTUK-KEAMANAN-RUANG-ALAT-LAB-RES-1-300x169.png 300w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/Embedded-AI_Kelompok-3_K1B_SMART-SURVEILLANCE-SYSTEM-IDENTIFIKASI-SERAGAM-DAN-WAJAH-BERBASIS-AI-UNTUK-KEAMANAN-RUANG-ALAT-LAB-RES-1-1024x576.png 1024w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/Embedded-AI_Kelompok-3_K1B_SMART-SURVEILLANCE-SYSTEM-IDENTIFIKASI-SERAGAM-DAN-WAJAH-BERBASIS-AI-UNTUK-KEAMANAN-RUANG-ALAT-LAB-RES-1-768x432.png 768w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/Embedded-AI_Kelompok-3_K1B_SMART-SURVEILLANCE-SYSTEM-IDENTIFIKASI-SERAGAM-DAN-WAJAH-BERBASIS-AI-UNTUK-KEAMANAN-RUANG-ALAT-LAB-RES-1-1536x864.png 1536w\" sizes=\"(max-width: 688px) 100vw, 688px\" \/><\/p>\n<h1><span style=\"font-weight: 400\">\u2757 <\/span><b>Problem Statements<\/b><\/h1>\n<ul>\n<li style=\"font-weight: 400;text-align: justify\"><span style=\"font-weight: 400\">The increasing number of theft cases, including in academic environments, highlights serious security concerns.<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><span style=\"font-weight: 400\">Traditional security systems often rely on manual methods like physical keys and limited human supervision, proving to be ineffective in detecting and preventing threats.<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><span style=\"font-weight: 400\">There is a need for a more sophisticated and proactive security solution to prevent unauthorized access and theft in laboratory tool rooms.<\/span><\/li>\n<\/ul>\n<h1><span style=\"font-weight: 400\">\ud83c\udfaf <\/span><b>Goals<\/b><\/h1>\n<ul>\n<li style=\"font-weight: 400;text-align: justify\"><span style=\"font-weight: 400\">Analyze the effectiveness of face recognition and uniform detection technology in identifying individuals with authorized access to the laboratory.<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><span style=\"font-weight: 400\">Develop and test the integration of face recognition and uniform detection technology to reduce potential unauthorized access and improve real-time security response.<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><span style=\"font-weight: 400\">Evaluate the performance of the Smart Surveillance System in accurately distinguishing between authorized and unauthorized individuals with optimal accuracy.<\/span><\/li>\n<\/ul>\n<h1><span style=\"font-weight: 400\">\ud83d\udca1 <\/span><b>Solution Statements<\/b><\/h1>\n<ul>\n<li style=\"font-weight: 400;text-align: justify\"><span style=\"font-weight: 400\">Develop a Smart Surveillance System based on AI capable of real-time face and uniform detection to enhance laboratory tool room security.<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><span style=\"font-weight: 400\">Implement face recognition technology to identify individuals entering the laboratory and uniform detection to ensure only authorized personnel can access the tool room.<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><span style=\"font-weight: 400\">Integrate the system with Website for real-time surveillance, Blynk for real-time notifications and a buzzer for immediate alerts when unauthorized access is detected.<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><span style=\"font-weight: 400\">Utilize a hybrid AI-IoT approach, with ESP32-CAM for local uniform detection and AWS EC2 for cloud-based face recognition, to optimize performance and bandwidth.<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><span style=\"font-weight: 400\">Design the system to categorize outputs into &#8220;assistant lab&#8221; and &#8220;unknown person&#8221;.<\/span><\/li>\n<\/ul>\n<h1><span style=\"font-weight: 400\">\ud83e\uddf0 <\/span><b>Prerequisites \u2013 Component Preparation<\/b><\/h1>\n<p><b>\ud83d\udd0cHardware Powerhouse:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400;text-align: justify\"><b>ESP32-CAM<\/b><span style=\"font-weight: 400\">: Camera module and main processing unit.<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><b>5V Power Supply<\/b><span style=\"font-weight: 400\">: Supplies power to ESP32-CAM and circuit.<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><b>Buzzer<\/b><span style=\"font-weight: 400\">: Actuator for warnings\/alarms (when the subject is not recognized).<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><b>Red LED<\/b><span style=\"font-weight: 400\">: Illuminates when WIFI is not connected.<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><b>Green LED<\/b><span style=\"font-weight: 400\">: Illuminates when the subject is recognized.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">\ud83e\udde0 <\/span><b>Software &amp; Platforms:<\/b><\/p>\n<ul>\n<li style=\"font-weight: 400\"><b>Arduino IDE<\/b><span style=\"font-weight: 400\">: For ESP32 programming in C++.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>TensorFlow<\/b><span style=\"font-weight: 400\">: For deep learning models.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>AWS (EC2, IoTCore, Lambda, Api Gateway)<\/b><span style=\"font-weight: 400\">: For cloud server &amp; data communication.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Python<\/b><span style=\"font-weight: 400\">: For face recognition AI.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>C++<\/b><span style=\"font-weight: 400\">: Core logic implementation on ESP32-CAM and for uniform detection AI.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>Blynk<\/b><span style=\"font-weight: 400\">: IoT platform for notifications and monitoring.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>MobileNetV2 0.35<\/b><span style=\"font-weight: 400\">: Lightweight model for uniform detection.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>HOG &amp; CNN ResNet34 from DLIB<\/b><span style=\"font-weight: 400\">: For face detection and feature extraction.<\/span><\/li>\n<li style=\"font-weight: 400\"><b>React Website<\/b><span style=\"font-weight: 400\">: Website for easy real-time monitoring<\/span><\/li>\n<\/ul>\n<h1><span style=\"font-weight: 400\">\ud83e\udde9 <\/span><b>Schematic<br \/>\n<\/b><span style=\"font-weight: 400\"><img decoding=\"async\" class=\"wp-image-3037 aligncenter\" src=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/WhatsApp-Image-2025-06-20-at-14.15.08_a871a5db.jpg\" alt=\"Schematic\" width=\"341\" height=\"455\" srcset=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/WhatsApp-Image-2025-06-20-at-14.15.08_a871a5db.jpg 652w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/WhatsApp-Image-2025-06-20-at-14.15.08_a871a5db-225x300.jpg 225w\" sizes=\"(max-width: 341px) 100vw, 341px\" \/><\/span><\/h1>\n<h1><span style=\"font-weight: 400\">\ud83c\udfac <\/span><b>Demo and Evaluation<\/b><\/h1>\n<p><span style=\"font-weight: 400\">\u00a0 \u00a0<\/span><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-3083\" src=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/WhatsApp-Image-2025-06-20-at-14.23.26_a13c25b0.jpg\" alt=\"\" width=\"325\" height=\"635\" srcset=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/WhatsApp-Image-2025-06-20-at-14.23.26_a13c25b0.jpg 459w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/WhatsApp-Image-2025-06-20-at-14.23.26_a13c25b0-154x300.jpg 154w\" sizes=\"(max-width: 325px) 100vw, 325px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-3084 aligncenter\" src=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/WhatsApp-Image-2025-06-20-at-14.23.56_2eeea74d.jpg\" alt=\"\" width=\"614\" height=\"323\" srcset=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/WhatsApp-Image-2025-06-20-at-14.23.56_2eeea74d.jpg 892w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/WhatsApp-Image-2025-06-20-at-14.23.56_2eeea74d-300x158.jpg 300w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/WhatsApp-Image-2025-06-20-at-14.23.56_2eeea74d-768x404.jpg 768w\" sizes=\"(max-width: 614px) 100vw, 614px\" \/><\/p>\n<ul>\n<li style=\"font-weight: 400;text-align: justify\"><b>Demo<\/b><span style=\"font-weight: 400\">: Demonstrate real-time detection of uniforms and faces, showing the system&#8217;s response (LEDs, buzzer, and Blynk notifications) for both authorized and unauthorized individuals.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">\ud83d\udda5\ufe0f Watch the demo here:<\/span><\/li>\n<li style=\"font-weight: 400\"><a href=\"https:\/\/drive.google.com\/file\/d\/1e-iHFh_RC8aGAlzBdJ5NXdDrMfDgr70g\/view?usp=drive_link\">https:\/\/drive.google.com\/file\/d\/1e-iHFh_RC8aGAlzBdJ5NXdDrMfDgr70g\/view?usp=drive_link<\/a><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">\ud83d\udd2c <\/span><b>Evaluation<\/b><span style=\"font-weight: 400\">: The system was tested using Unit Testing and Integration Testing to ensure proper module and system integration.<\/span>\n<ul>\n<li style=\"font-weight: 400;text-align: justify\"><b>Uniform Detection Accuracy<\/b><span style=\"font-weight: 400\">: Achieved 88.8% F1 score.<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><b>Face Recognition Accuracy<\/b><span style=\"font-weight: 400\">: Achieved 97% accuracy.<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><b>Uniform Detection Response Time (Local)<\/b><span style=\"font-weight: 400\">: Average of 757 ms.<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><b>Face Verification Response Time (Cloud)<\/b><span style=\"font-weight: 400\">: Less than 2000 ms.<\/span><\/li>\n<li style=\"font-weight: 400;text-align: justify\"><b>Blynk Notification Response Time<\/b><span style=\"font-weight: 400\">: Less than 2 seconds.<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h1><span style=\"font-weight: 400\">\u2705 <\/span><b>Conclusion<\/b><span style=\"font-weight: 400\">\u00a0<\/span><\/h1>\n<p style=\"text-align: justify\"><span style=\"font-weight: 400\">This project successfully developed a Smart Surveillance System based on AI that effectively identifies uniforms and faces in real-time to enhance laboratory tool room security. The system accurately differentiates between known, unknown, and no-person categories, demonstrating an 89% accuracy for uniform detection and 97% for face recognition. Its hybrid architecture, combining local and cloud processing, ensures high accuracy and low latency, proving effective in preventing unauthorized access through quick responses via Blynk notifications and a buzzer. The system&#8217;s advantages include real-time detection, rapid response, optimized bandwidth through a hybrid AI-IoT approach, high accuracy with deep learning models, and adaptability via Agile Development.<\/span><\/p>\n<h3><b>\ud83c\udfc6 Achievement<\/b><\/h3>\n<p style=\"text-align: justify\"><b>\ud83e\udd49 3rd Place Winner at Capstone Graduation Showcase 2025 &#8211; AIoT Theme<\/b><span style=\"font-weight: 400\"><br \/>\n<\/span><span style=\"font-weight: 400\"> The <\/span><i><span style=\"font-weight: 400\">Smart Surveillance System<\/span><\/i><span style=\"font-weight: 400\"> project was awarded 3rd place at the Capstone Graduation Showcase 2025, held by FILKOM UB, under the AIoT (Artificial Intelligence of Things) category. This achievement highlights the project&#8217;s success in integrating AI and IoT technologies into a practical, efficient, and impactful security solution for laboratory environments.<\/span><\/p>\n<p style=\"text-align: justify\"><span style=\"font-weight: 400\">\ud83d\udcb0 <\/span><b>Budget Efficiency Milestone<\/b><b><br \/>\n<\/b><span style=\"font-weight: 400\"> The entire system was successfully developed with a budget of approximately <\/span><b>IDR 150,000<\/b><span style=\"font-weight: 400\">, demonstrating the team&#8217;s strong capability in cost-effective innovation. By utilizing open-source tools, affordable hardware (like the ESP32-CAM), and cloud-based AI processing, the project proved that high-performance smart surveillance can be built on a minimal budget\u2014making it a viable option for educational institutions and low-resource environments.<\/span><\/p>\n<h1><span style=\"font-weight: 400\">\ud83d\udcf2 <\/span><b>Contact us!<\/b><span style=\"font-weight: 400\">\u00a0<\/span><\/h1>\n<h6><span style=\"font-weight: 400\">Our Git:<br \/>\n<\/span><a href=\"https:\/\/github.com\/adikusuma1\/CAPSTONE-Smart-Surveillance-System-Identifikasi-Seragam-dan-Wajah\"><span style=\"font-weight: 400\">https:\/\/github.com\/adikusuma1\/CAPSTONE-Smart-Surveillance-System-Identifikasi-Seragam-dan-Wajah<\/span><\/a><\/h6>\n<p>Our Linkedin:<\/p>\n<ul>\n<li style=\"font-weight: 400\"><a href=\"https:\/\/www.linkedin.com\/in\/ilmam-hashfi-firjatullah\/\"><span style=\"font-weight: 400\">https:\/\/www.linkedin.com\/in\/ilmam-hashfi-firjatullah\/<\/span><\/a><span style=\"font-weight: 400\"> (Ilmam Hashfi Firjatullah)<\/span><\/li>\n<li style=\"font-weight: 400\"><a href=\"https:\/\/www.linkedin.com\/in\/adiikusuma\/\"><span style=\"font-weight: 400\">https:\/\/www.linkedin.com\/in\/adiikusuma\/<\/span><\/a><span style=\"font-weight: 400\"> (Nur Adiyanto Kusuma Nuhgraha)<\/span><\/li>\n<li style=\"font-weight: 400\"><a href=\"http:\/\/www.linkedin.com\/in\/zahraauliaul\"><span style=\"font-weight: 400\">www.linkedin.com\/in\/zahraauliaul<\/span><\/a><span style=\"font-weight: 400\"> (Zahra Auliaul Rohman)<\/span><\/li>\n<li style=\"font-weight: 400\"><a href=\"https:\/\/www.linkedin.com\/in\/albiistafa\/\"><span style=\"font-weight: 400\">https:\/\/www.linkedin.com\/in\/albiistafa\/<\/span><\/a><span style=\"font-weight: 400\"> (Ahmad Izzat Albi Istafa)<\/span><\/li>\n<li style=\"font-weight: 400\"><a href=\"https:\/\/www.linkedin.com\/in\/yudaneru-vebrianto\/\">https:\/\/www.linkedin.com\/in\/yudaneru-vebrianto\/<\/a> (Yudaneru Febrianto)<\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">\ud83d\udcf7 <\/span><b>Behind the Lens<\/b><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-3268 aligncenter\" src=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0691-scaled.jpg\" alt=\"\" width=\"539\" height=\"405\" srcset=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0691-scaled.jpg 2560w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0691-300x225.jpg 300w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0691-1024x768.jpg 1024w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0691-768x576.jpg 768w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0691-1536x1152.jpg 1536w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0691-2048x1536.jpg 2048w\" sizes=\"(max-width: 539px) 100vw, 539px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-3270 aligncenter\" src=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0683-1-scaled.jpg\" alt=\"\" width=\"526\" height=\"395\" srcset=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0683-1-scaled.jpg 2560w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0683-1-300x225.jpg 300w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0683-1-1024x768.jpg 1024w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0683-1-768x576.jpg 768w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0683-1-1536x1152.jpg 1536w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0683-1-2048x1536.jpg 2048w\" sizes=\"(max-width: 526px) 100vw, 526px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-3267 aligncenter\" src=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0383-scaled.jpg\" alt=\"\" width=\"490\" height=\"653\" srcset=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0383-scaled.jpg 1920w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0383-225x300.jpg 225w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0383-768x1024.jpg 768w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0383-1152x1536.jpg 1152w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/IMG_0383-1536x2048.jpg 1536w\" sizes=\"(max-width: 490px) 100vw, 490px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-3304 aligncenter\" src=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/WhatsApp-Image-2025-06-20-at-15.27.55_649cdf78.jpg\" alt=\"\" width=\"533\" height=\"429\" srcset=\"https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/WhatsApp-Image-2025-06-20-at-15.27.55_649cdf78.jpg 1082w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/WhatsApp-Image-2025-06-20-at-15.27.55_649cdf78-300x241.jpg 300w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/WhatsApp-Image-2025-06-20-at-15.27.55_649cdf78-1024x824.jpg 1024w, https:\/\/filkom.ub.ac.id\/project\/wp-content\/uploads\/sites\/3\/2025\/06\/WhatsApp-Image-2025-06-20-at-15.27.55_649cdf78-768x618.jpg 768w\" sizes=\"(max-width: 533px) 100vw, 533px\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-3305 aligncenter\" 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Our &#8220;Labcam&#8221; system stands at the forefront of cutting-edge IoT-based smart surveillance and security. We\u2019ve engineered a robust solution specifically designed to fortify the security of the Robotics and Embedded System (RES) Laboratory\u2019s tool room, leveraging the&#8230;<\/p>\n","protected":false},"author":349,"featured_media":2986,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"default","_kad_post_title":"default","_kad_post_layout":"default","_kad_post_sidebar_id":"","_kad_post_content_style":"default","_kad_post_vertical_padding":"default","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[9],"tags":[],"class_list":["post-2806","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence-of-thing-aiot"],"_links":{"self":[{"href":"https:\/\/filkom.ub.ac.id\/project\/wp-json\/wp\/v2\/posts\/2806","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/filkom.ub.ac.id\/project\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/filkom.ub.ac.id\/project\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/filkom.ub.ac.id\/project\/wp-json\/wp\/v2\/users\/349"}],"replies":[{"embeddable":true,"href":"https:\/\/filkom.ub.ac.id\/project\/wp-json\/wp\/v2\/comments?post=2806"}],"version-history":[{"count":3,"href":"https:\/\/filkom.ub.ac.id\/project\/wp-json\/wp\/v2\/posts\/2806\/revisions"}],"predecessor-version":[{"id":4489,"href":"https:\/\/filkom.ub.ac.id\/project\/wp-json\/wp\/v2\/posts\/2806\/revisions\/4489"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/filkom.ub.ac.id\/project\/wp-json\/wp\/v2\/media\/2986"}],"wp:attachment":[{"href":"https:\/\/filkom.ub.ac.id\/project\/wp-json\/wp\/v2\/media?parent=2806"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/filkom.ub.ac.id\/project\/wp-json\/wp\/v2\/categories?post=2806"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/filkom.ub.ac.id\/project\/wp-json\/wp\/v2\/tags?post=2806"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}