Update public/content/content.json

public/content/content.json

@@ -184,5 +184,28 @@
       "publication": "https://www.hft-stuttgart.de/p/sergej-kreber",
       "project": "https://www.hft-stuttgart.de/forschung/projekte/aktuell/icity-2-sensim4icity"
     }
+  } ,
+  {
+    "item": {
+      "title": "Determination of Footfall using AI-supported and Computer Vision-based People Counters",
+      "project": "SenSim4iCity",
+      "author": {
+        "firstName": "Sergej",
+        "lastName": "Kreber",
+        "hftURL": "https://www.hft-stuttgart.de/p/sergej-kreber"
+      },
+      "project_year_start": "2022",
+      "project_year_end": "2024",
+      "project_is_on_going": false,
+      "imageLink": "imgs/thumbnails/sergej-card4.png",
+      "keywords": ["Smart Industrial Building", "AI", "Computer Vision", "Smart Home", "Building Management, IoT", "Open Source"],
+      "description_en": "Development of a versatile AI-based computer vision system for comprehensive object detection and tracking, including people and vehicles. This enables real-time detection and tracking of objects for various applications such as security, resource utilization, and capacity management.",
+      "description_de": "Entwicklung eines vielseitig einsetzbaren KI basierten Computer-Vision-Systems zur umfassenden Objekterkennung und -verfolgung, darunter Personen und Fahrzeuge. Dadurch wird die Echtzeit-Erfassung und Verfolgung von Objekten für diverse Anwendungen wie Sicherheit, Ressourcenauslastung und Kapazitätsmanagement ermöglicht."
+    },
+    "refIndex": 11,
+    "links": {
+      "publication": "https://www.hft-stuttgart.de/p/sergej-kreber",
+      "project": "https://www.hft-stuttgart.de/forschung/projekte/aktuell/icity-2-sensim4icity"
+    }
   }
 ]