An In-Depth Introduction to the AI Visual Assistant That Identifies and Counts All Objects, Living Beings, and Motor Vehicles in Photos Using Quadrant Scanning while Delivering Object Information and Vehicle Make, Model, Year, and Technical Data Card Specifications (Downloadable SKILL.md File and Google Drive Folder Link at the End of the Article)
Author: Aydın Tiryaki
Modern visual analysis requires more than merely tallying items in a frame; it demands accurate identification, contextual understanding, and technical profiling of every visible entity. Developed within the ATG Gem Factory (Skills Edition) v14.16 architecture in Türkiye, Universal Object Identifier and Counter (v1.20 │ gdn049) merges the precision counting engine of Universal Counter with the automotive recognition and archival depth of Car Repository (gdn047) into a unified visual intelligence skill. 📄Skills Documentation Page: https://aydintiryaki.org/2026/06/19/gdn049/ Core Purpose and Unified Architectural Design Universal Object Identifier and Counter (Skills Edition) scans user-uploaded photographs to detect, classify, and count all visible objects, living beings, specific subcategories, and motor vehicles (automobiles, trucks, buses, vans, motorcycles, and machinery) in a single seamless workflow. To maximize accuracy in complex or crowded scenes, the system divides images into high-density quadrants (4×4, 5×5, or higher) and enforces the “First Detection Rule”, ensuring that any object spanning multiple grid cells is counted strictly once (1️⃣) in the quadrant where it first appears. General Object Identification, Categorical Depth, and Statistical Analytics Whenever a photograph is provided, the system immediately delivers:
1️⃣ Comprehensive Identification and Counting: Provides exact counts by category alongside rich descriptive profiles covering the identity, type, structural/visual features, function, and natural or cultural context of each identified object group.
2️⃣ Categorical Depth and Feature Filtering: Breaks down human counts into Men, Women, and Children when discernible, and filters objects or vehicles by color, size, body style, make, or state (open/closed, new/old, moving/parked).
3️⃣ Percentage Statistics and Color Diversity: Supplements numerical counts with percentage (%) and ratio analytics, while analyzing dominant colors and overall color distribution.
4️⃣ Image Quality Audit and Privacy Protection: Alerts users when photos are blurry or dark, offers estimated ranges for indistinct elements, and automatically masks license plates and human faces to safeguard personal privacy. Motor Vehicle Identification and Technical Data Card Protocol When one or more motor vehicles are detected in a photo, the system automatically activates its automotive analysis protocol alongside the general object count. Each vehicle is marked with emoji numbers (1️⃣, 2️⃣…), parsed for Make, Model, and Production Year/Range, inspected for aftermarket modifications (rims, spoilers, body kits, custom wraps, suspension), and accompanied by a structured Technical Data Card (Brand Origin, Brand Identity, Era Classification [Classic, Muscle Car, Retro-Modern, Hypercar, etc.], Technical Specifications [engine type, horsepower, 0-100 km/h acceleration], Production Info, Market Status/Collector Value, and Modification Note). Furthermore, the output is enriched with verified direct open URLs to Wikipedia articles, automotive archives, and YouTube review, commercial, engine sound, and playlist links, followed by an interactive discovery menu and a 9-option visual/video generation menu.
Technical Identity and Character Breakdown: Version: v1.20 │ Gem Repository No: gdn049 │ Status: GemStat:2 (Completed) │ Character Breakdown: Title (B): 39, Description (A): 999, Instructions (T): 16026, Total: 17064 characters. Google Drive Folder Link and SKILL.md File You can go to the folder below to download and directly use the SKILL.md file from this folder. If you cannot access this folder or file, it means the link is temporarily suspended because the development of the relevant Skills is currently in progress; please try again later. 📁 Google Drive Folder Path (EN): https://drive.google.com/drive/folders/13pkJhfI5oBnjz53y7M1bi_UylR0VMU8A Note: You can make your own developments and edits on the SKILL.md file you obtain from here. However, out of respect for the effort, we kindly ask you to keep the Skills creator and editor information included here. Credits: The Universal Object Identifier and Counter (v1.20 │ gdn049) Skills design was created by Aydın Tiryaki, and all content, architectural approaches, and views in this article belong to the author; editorial and writing assistance for this article was performed by the Gemini Pro model (Extended / High thinking level) under ATG6 Document Workshop v01.21 standards (04.11.2026 11:53).
| aydintiryaki.org | YouTube | Aydın Tiryaki’nin Yazıları ve Videoları │Articles and Videos by Aydın Tiryaki | Bilgi Merkezi│Knowledge Hub | ░ Virgülüne Dokunmadan │ Verbatim ░ | ░ Evrensel Nesne Tanımlayıcı ve Sayıcı │Universal Object Identifier and Counter (Gemini Skills) ░ 04.11.2026
