Computer Vision Systems

Vision Systems
That See Everything

Real-time detection, depth estimation, multi-camera tracking, and pose analysis โ€” built with YOLO11 and cutting-edge vision transformers.

5 Computer Vision Systems

Futuristic computer vision interface with depth data overlays, dark blue digital environment, glowing cyan detection boxes on objects
Detection + Depth
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Depth-Aware Detection System

Real-time object detection + metric depth estimation

Combines YOLO11 object detection with Depth-Anything V2 to produce real-time bounding boxes augmented with accurate metric depth values. Enables precise spatial awareness for robotics and autonomous navigation.

  • Metric depth per detection
  • Real-time 30fps
  • Sub-meter accuracy
YOLO11Depth-Anything V2PyTorchOpenCV
Multiple security camera feeds on dark monitors, deep shadows, dim blue-tinted control room, atmospheric low-key lighting
Multi-Camera
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Multi-Camera Tracking System

Persistent object tracking across multiple views

ByteTrack-powered system that maintains consistent object IDs as targets move across overlapping and non-overlapping camera fields of view. Built for surveillance and crowd analytics.

  • Cross-camera ID persistence
  • Multi-view fusion
  • Low-latency pipeline
YOLO11ByteTrackPythonOpenCV
Silhouette of person with glowing skeleton pose overlay, dark studio environment, minimal dim background, neon green joint markers
Pose + Action
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3D Pose Estimation & Action Recognition

Real-time human pose visualization

Uses YOLO11 Pose to extract 17-keypoint skeleton data and classify actions: Walking, Sitting, Falling, Running. Outputs 3D joint coordinates for biomechanical analysis.

  • 17-keypoint skeleton
  • Action classification
  • 3D joint coordinates
YOLO11 PosePyTorchMediaPipeOpenCV
Healthcare monitoring interface with alert indicators, dark clinical room, amber warning lights, deep shadows on walls
Safety AI
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Fall Detection System

Real-time safety monitoring for elderly care

Monitors skeletal keypoint trajectories to detect fall events within 200ms. Triggers real-time alerts for caregivers. Designed for deployment in nursing homes and assisted living facilities.

  • 200ms detection latency
  • Caregiver alerts
  • False positive filtering
YOLO11 PoseAlert SystemPythonOpenCV
Thermal infrared night vision image, dark forest environment, deep blacks and shadows, faint warm human silhouettes in total darkness
Thermal Vision
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Thermal Night Vision Detection System

Low-light person detection using thermal imaging

Processes thermal infrared camera feeds to detect and track people in complete darkness. Adapts YOLO11 for thermal domain with custom preprocessing pipeline. Used in perimeter security and search-and-rescue scenarios.

  • Works in total darkness
  • Thermal domain adaptation
  • Perimeter security ready
  • Search & rescue deployment
YOLO11Thermal Image ProcessingPyTorchOpenCVIR Camera SDK