Vision-Based 3D Bin Picking | AI Vision System | Eureka

3D Bin Picking

Powered by AI Vision

Automate pick and place processes with vision-guided cells, powered by Eureka AI Vision.

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Watch Eureka bin picking systems at work

With a simple setup and integration with any robot brand, Eureka’s AI Vision system makes vision-guided robotics accessible to any engineer.

Picking and sorting metal parts

Picking and placing complex parts into jigs

Masterless bin picking for eCommerce

High-speed picking and sorting of shiny pouches

WHAT WE AUTOMATE

Four jobs your operators do today, automated with AI Vision

Pick

Reach into bins, totes, and conveyors. No fixtures, no presentation.

Stack

Build pallets, trays, and dunnage layers from random infeed.

Sort

Recognize 100+ SKUs from a mixed conveyor and route each one.

Load

Feed CNCs, presses, and downstream machines without operators.

OTHER APPLICATIONS

Metal parts Plastic parts

3D picking that finally makes economic sense

Until now, AI vision projects stalled on cost. Cost to evaluate. Cost to deploy. Cost to maintain. Eureka removes all three.

Free to try

Ship us a bin of your parts and get a pick video back in 72 hours. No PO, no NDA, no upfront cost. Validate Eureka on your real SKUs before you commit budget.

Start a feasibility check

Fast to deploy

First pick within hours of arriving on-site, production-ready in days instead of weeks of downtime. 99.5% pick reliability across 30M+ picks at Fortune 500 lines.

Explore the technology

Yours to own

Process logic, robot program, and AI models live on the device and belong to your team. Train new parts on-site in minutes. Your CAD never leaves the facility.

Learn more

Send us your parts for a free feasibility check

Tell us about your application below. We confirm fit, send a prepaid FedEx label, and reply with a pick video plus written verdict within 72 hours – depending on part complexity.

Your vision questions answered

Hands-on advice from our application engineers and vision experts.

Frequently asked questions

What types of parts work well with bin picking — and which ones don't?

Matte surfaces, simple geometry, and a flat area a suction cup can seal against are ideal. Large parts relative to the container with bulk placement at the destination are the easiest to deploy.

Reflective metals, transparent or dark materials, irregular shapes, high part density, and tight placement tolerances all add difficulty. Fully transparent parts like pure glass are generally not viable today. Translucent parts are difficult but often workable.

The fastest way to find out is to send us your parts for a complimentary lab trial.

What pick success rate and cycle time should I expect in production?

Typical production cells achieve 4–8 second cycle times and 98–99.9% pick success rates. Simple parts picked by suction and placed in bulk run around 5 seconds. Complex parts needing precise finger positioning run 7–8 seconds.

How long does deployment take from start to production?

One to two weeks of offsite preparation (model training, application logic, initial tuning), plus a few days to two weeks of onsite installation and ramp-up. Getting a first pick in an afternoon is realistic. Getting to stable production takes longer.

Do I need a system integrator, or can I work directly with Eureka?

Unless you have a strong internal engineering team with mechanical, electrical, and software capabilities, we recommend bringing in a system integrator. Eureka provides the 3D camera, AI vision software, and application engineering support, but we don't do end-to-end integration.

How do I add new SKUs over time — and what does that cost?

Systems that require vendor involvement for every new part create dependencies that get expensive over time. Eureka's system lets customers train new SKUs independently.

What's the best way to test whether bin picking will work for my parts?

A picking demo in our lab with your actual parts. Real hardware surfaces surprises early, when they're cheapest to address.

What is bin picking?

Bin picking uses a robot guided by 3D vision and AI to pick individual parts from a bin where they're randomly arranged. It replaces manual loading in manufacturing when parts arrive in bulk without consistent orientation.