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Object Counting AI is a computer vision capability that automatically identifies and counts specific objects within an image, returning a structured count for visually defined items such as tools, parts, vehicles, products, or other assets.
Upload an image and receive an accurate count of a defined object type, even in cluttered scenes, partial views, or challenging lighting conditions. The system focuses on visually specific items rather than broad categories.
Unlike generic object detection, Object Counting AI is optimised to answer a simple operational question: how many of this exact thing are present? It prioritises accurate quantities over generic labelling.
Businesses use Object Counting AI to replace slow, manual counting with fast automation. Typical applications include counting similar items at scale, verifying part quantities, and checking tool presence before and after tasks. Optional visual overlays help teams validate results and use counts in everyday workflows.
Apply Object Counting AI across a wide range of industries to automate counting tasks, reduce manual effort, and improve operational visibility:
Detect and quantify branded assets, car types, or unique items in public spaces for marketing analytics or fleet monitoring.
Ensure required items are present before and after tasks in industrial, repair, or service workflows.
Count products on shelves, in displays, or in packaging to automate retail or logistics checks.
Track foot traffic, queue lengths, or vehicle flow at worksites, events, or facility entrances.
Tiliter’s Object Counter Vision Agent detects and counts specific objects in images - including defined makes, models, or visual classes like particular vehicle types, branded tools, or equipment variants - even in cluttered scenes, low lighting, or partial views.
You simply provide an image — from a mobile device, drone, CCTV feed, or upload — and receive structured output, including:
To support verification and trust, the agent can also return a visual overlay highlighting the detected objects, making it easy to validate counts and understand how results were derived.
Explore real-world examples using the Object Counter Vision Agent to count items automatically, improve accuracy, and streamline operational workflows.
