Aetec Vision Lab aetec.net

Aetec · Cloudflare-ready static web apps

Adaptive navigation vision, AI object detection, and 3D scene capture demos.

Use a phone camera and available mobile sensors for live prototyping, then upgrade the same UI toward robot-mounted cameras, LiDAR, ultrasonic, electric sensors, wheel odometry, and ROS/AMR middleware.

Open Web App 1 Open Web App 2 Open Web App 3

Object detection · motion sensing · adaptive side-following · suspicious / defect review · 3D scene capture

Web App 1

Phone / AMR camera adaptive navigation demo

Turns the phone into a robot vision sensor that can follow a side reference object, react to nearby obstacles, and suggest fast LEFT / RIGHT / STOP steering cues for demo navigation.

  • Camera selector and environment camera preference
  • DeviceMotion / DeviceOrientation dashboard
  • COCO-SSD browser object detector
  • Fast steering arrow for LEFT, HOLD, RIGHT, or STOP
  • Manual stereo-depth calculator for two USB cameras
Launch Adaptive Navigation Vision
Web App 2

AI object detection / suspicious object detection / defect review

For a phone or robot-mounted camera: object boxes, baseline comparison, color/texture anomaly score, heatmap overlay, meeting-room demo object detection, people / mood cue detection, and suspicious / defect review workflow.

  • Capture a known-normal baseline view
  • Compare current view against baseline for visual anomaly
  • Flag suspicious objects, unknown items, phone-like electronics, and unusual visual changes
  • Export JSON detection / review report
Launch AI Object Detection
Web App 3

3D scene capture / mapping workflow

Use an iPhone or robot camera to collect overlapping keyframes, phone sensor metadata, and a capture path preview. Export the image set for photogrammetry, then load the processed GLB/GLTF model back into the browser for review.

  • Camera keyframe capture and auto-capture mode
  • Phone orientation / rough motion metadata
  • Capture path and lightweight map preview
  • ZIP export for 3D reconstruction workflow
  • GLB/GLTF model viewer for the final map output
Launch 3D Scene Capture

Architecture direction

This version is a browser-safe demo, not a robot safety controller. For real AMR deployment, keep collision avoidance, braking, E-stop, bumper/LiDAR safety fields, and speed limits on the robot controller/PLC layer. Use this UI for perception visualization, dataset capture, labeling, and engineering validation.