Pick & Place robotique guidé par vision — Détection d’objets IA

Traditional robotic pick & place cells require rigid fixtures, perfect part orientation, and weeks of engineering to adapt to new products. Our vision-guided approach eliminates all three constraints.

How it works

A machine vision camera mounted above or on the robot arm captures images of incoming parts in real time. Our Retina AI deep learning software identifies each part regardless of orientation, rotation, or position. The software then computes optimal gripping coordinates and sends them to a Universal Robots cobot, which picks and places each part at line speed.

Key capabilities

  • No fixtures required — parts can arrive in any position or orientation
  • Real-time inference — 30+ fps on an edge industrial PC
  • Multi-part handling — the same cell can pick different parts without reprogramming
  • Integrated inspection — parts are checked for defects in the same cycle
  • Safe human collaboration — UR cobots meet ISO/TS 15066 safety standards

Packaging lines, component assembly, medical device handling, watch case manipulation, electronics kitting, and any process where parts arrive with natural variation.

Contact our engineers for a free feasibility study.

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Visiongeführtes Robotik-Pick-&-Place — KI-Objekterkennung

Traditional robotic pick & place cells require rigid fixtures, perfect part orientation, and weeks of engineering to adapt to new products. Our vision-guided approach eliminates all three constraints.

How it works

A machine vision camera mounted above or on the robot arm captures images of incoming parts in real time. Our Retina AI deep learning software identifies each part regardless of orientation, rotation, or position. The software then computes optimal gripping coordinates and sends them to a Universal Robots cobot, which picks and places each part at line speed.

Key capabilities

  • No fixtures required — parts can arrive in any position or orientation
  • Real-time inference — 30+ fps on an edge industrial PC
  • Multi-part handling — the same cell can pick different parts without reprogramming
  • Integrated inspection — parts are checked for defects in the same cycle
  • Safe human collaboration — UR cobots meet ISO/TS 15066 safety standards

Packaging lines, component assembly, medical device handling, watch case manipulation, electronics kitting, and any process where parts arrive with natural variation.

Contact our engineers for a free feasibility study.

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Vision-Guided Robot Pick & Place

Traditional robotic pick & place cells require rigid fixtures, perfect part orientation, and weeks of engineering to adapt to new products. Our vision-guided approach eliminates all three constraints.

How it works

A machine vision camera mounted above or on the robot arm captures images of incoming parts in real time. Our Retina AI deep learning software identifies each part regardless of orientation, rotation, or position. The software then computes optimal gripping coordinates and sends them to a Universal Robots cobot, which picks and places each part at line speed.

Key capabilities

  • No fixtures required — parts can arrive in any position or orientation
  • Real-time inference — 30+ fps on an edge industrial PC
  • Multi-part handling — the same cell can pick different parts without reprogramming
  • Integrated inspection — parts are checked for defects in the same cycle
  • Safe human collaboration — UR cobots meet ISO/TS 15066 safety standards

Packaging lines, component assembly, medical device handling, watch case manipulation, electronics kitting, and any process where parts arrive with natural variation.

Contact our engineers for a free feasibility study.

← Back to Home