EDGE-NATIVE TRANSFORMER VLM TRACKING

The Tracker That Doesn't Let Go.

Traditional trackers drift when they lose line-of-sight. DeepMentor AI delivers real-time, on-device semantic target lock-on that survives total occlusion, rapid rotation, and dense background clutter. Engineered for the modern battlefield and high-speed industrial autonomy.

Deep Mentor AI example

Disclaimer: This video is for demonstration and illustrative purposes only.

EDGE-NATIVE TRANSFORMER VLM TRACKING

The Tracker That Doesn't Let Go.

Traditional trackers drift when they lose line-of-sight. DeepMentor AI delivers real-time, on-device semantic target lock-on that survives total occlusion, rapid rotation, and dense background clutter. Engineered for the modern battlefield and high-speed industrial autonomy.

Deep Mentor AI example

Why Core Correlation Fails—and How We Solved It

Slide to compare traditional Siamese CNN tracking against DeepMentor’s VLM-powered One-Stream Transformer (OSTrack).

Traditional Siamese CNN Tracker

How it works: Relies on local patch matching and cross-correlation.
The Point of Failure: When the target rotates or goes behind an obstacle, the local features change. The tracker gets confused by similar background patterns, drifts, and completely loses the lock.

DeepMentor One-Stream Transformer (OSTrack) + VLM

How it works: Jointly processes target templates and search regions using global self-attention powered by an edge-native Vision-Language Model (VLM) framework.
The Win: Because it utilizes a VLM, the system builds a deep, semantic "understanding" of the target's actual identity and geometry rather than just matching pixels. It completely ignores

Core Value Pillars

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Zero-Lag Edge AI

The Tech: Leveraging DeepMentor's proprietary model miniaturization and hardeing technologies, the AI module enables the drone's mission computer to achieve maximum target-locking accuracy at minimal power draw.
The Benefit: No cloud dependency, no network latency, and zero vulnerability to signal jamming. Pure, local decision-making on the edge.

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Human-in-the-Loop Simplicity

The Tech: Fully automated bounding box generation from a single operator tap.
The Benefit: Eliminates complex manual flight adjustments. The operator points, locks, and the software handles the trajectory.

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Mission-Critical Data Logging

The Tech: Simultaneous 30 FPS video recording paired with millisecond-accurate CSV telemetry file exports.
The Benefit: Gives your engineering and command teams flawless, evidence-grade post-flight data for analysis and mission mapping.

Seamless Integration. Tactical Footprint.

Designed to sit directly in modern multi-sensor payloads and gimbal frames. Featuring a low 4.5W power draw and a highly compact 85mm x 56mm form factor, DeepMentor AI integrates into your existing hardware stack without sacrificing flight times.