Personnel tracking, entry/exit monitoring, and density analysis.
Count individuals, groups, and specific categories using plain language instructions. No pre-labeling, no dedicated hardware.
At Argu.ai, we pioneered the shift to Vision Agents. By combining Large Language Models (LLMs) with visual encoders, we built a system that understands the world the way humans do through context and language.
Real-Time Occupancy
Live headcount across all zones. Set capacity thresholds and receive instant alerts when limits are approached or exceeded.
Group-Aware Counting
Define what counts as a unit in natural language. A family, a crew, a delivery team — the system counts what you actually need to count.
Custom Category Queries
Count by attribute: clothing color, carried items, entry time window. No pre-labeling required.
These are the core principles that define how Argu approaches every deployment. Our solutions are built to work on your existing infrastructure, require no engineering overhead, and deliver measurable results from day one. Every feature is designed with one goal: giving your team the intelligence to act faster, with more confidence, and without adding complexity.
Attribute-Level Queries
Count by color, category, or behavior — not just body count.
Group Detection
Count families and crews as single units when needed.
High-Density Accuracy
Maintains accuracy in crowded, overlapping environments.
Attribute-Level Queries
Count by clothing color, carried items, or vehicle type. Not just body count — meaningful categories.
Group-Aware Counting
Define counting units in natural language. Count families, crews, or delivery teams as single units.
High-Density Accuracy
Maintains counting accuracy in crowded, overlapping environments where traditional systems fail.
No Pre-Labeling
No need to configure detection categories in advance. Describe what you need and count it immediately.
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