FREQUENTLY ASKED QUESTIONS

DeepMentor Technology & Solutions

1. GENERAL OVERVIEW & CORE TECHNOLOGY

What core technology does DeepMentor develop?
DeepMentor specializes in edge AI accelerators, ultra-low-power Vision-Language Models (VLMs), and direct algorithmto- RTL circuit hardening designed for autonomous platforms, defense systems, and commercial edge deployments.

Deploying a 90M-parameter Vision Language Model (VLM) on the Qualcom 6490 module, our system consumes under 4.5W total power. DeepMentor’s proprietary optimization and hardening stack enables full NPU portability across platforms. 

DeepMentor’s proprietary model miniaturization technology reduces certain AI model sizes by up to 90% while maintaining over
99% output accuracy.

Depending on model architecture and NPU complexity, standard AI model porting is typically completed within 60 days.

2. TRACKING & AUTONOMOUS SYSTEMS

What tracking architecture does the DeepMentor AI Tracking Module use?
It utilizes a Transformer-based One-Stream Tracker (OSTrack) architecture rather than traditional CNN-based Siamese trackers.
  • Global Context: Self-attention connects all frame tokens, preserving semantic context across the entire frame rather than relying on local patches.
  • Sticky Lock-On: Semantic-level matching continuously re-verifies target identity, holding lock-on through rotation, illumination changes, and high-speed pursuit.
  • Occlusion Recovery: Re-acquires the exact target immediately after full or partial occlusion without drifting to background distractors.
It is INT8 edge-optimized to run on the Qualcomm QCS6490 NPU platform, delivering high Transformer accuracy at realtime speeds.

3. APPLICATIONS & SWARMS

What key deployment areas does DeepMentor target?
  • Defense & Swarms: Autonomous drone swarms, missile seekers, and uncrewed ground/maritime vehicles.
  • Logistics & Terminals: Automated container ID parsing, structural damage detection, and inventory filtering.
  • Maritime Harbor Patrol: Surface oil sheen reflection detection and automated GPS/timestamp logging.
  • Post-Disaster Triage: Aerial roof damage grading, tarp area estimations, and community priority dispatch.
  • Agricultural Precision: Crop health monitoring, pest cluster detection, and irrigation leak logging.
Using an “Alpha-at-Every-Node” leaderless mesh architecture, target priorities are negotiated between nodes in under 1 millisecond based on real-time geometry and fuel. Swarm intelligence remains constant even through 40%+ node attrition.