Improve any sensor-driven
quality control operation

ADI OtoSense™ Quality Control is an AI-driven sensing interpretation hardware and software solution that automates operations in your manufacturing environment.

Catches elusive defects

Any part, any process

Accelerates testing

In real time, at the edge

Get In Touch

Overview

Real-time quality control, where you need it

ADI OtoSense Quality Control makes sense of complex signals in real time. This sensor-driven quality control solution combines sensor inputs with any existing data available on the factory floor. When an issue is detected, notifications can be shared to the appropriate audience through your desired channels, anything from a light tower, a display, an industrial automation system, or via our secure API.

ADI OtoSense Quality Control directly assesses the quality of manufactured parts and/or infers their condition by monitoring the machines that build or move them anywhere on the line. This combination allows for thorough quality control of each unit prior to shipment, even when the throughput is fast.

Digital graphic of a white circle with purple and green icons

Benefits

Better quality, higher throughput

Reduces testing time

ADI OtoSense Quality Control detects and predicts anomalies within seconds. Whether the product quickly passes on a conveyor belt or undergoes a complex recipe to be thoroughly verified, the test time allocated to each can be reduced.

Catches hidden defects

OtoSense® Artificial Intelligence is dedicated to the interpretation of complex signals. Its advanced anomaly detection and event recognition capabilities enable identification of defects that are impossible or costly to detect with standard methods.

Adapts to any part or process

ADI OtoSense Quality Control learns the behavior of each of your processes and parts. The system switches in real time between models to adapt to the variability of parts produced and the complexity of the associated test recipes.

Use cases

Trusted on the factory floor

ADI OtoSense Quality Control has been designed with the real world of factory floors in mind. Its cutting edge AI features come with all the robustness, reliability, safety and scalability you expect from an industrial system.

Stamping press

$200K/year saving

A Metal Stamping Press is an extremely powerful, yet fragile piece of equipment. A scrap metal jam, a rising slug or a lubrication issue can result in a long and expensive downtime.

For a major automotive OEM (Original Equipment Manufacturer), ADI OtoSense Quality Control identifies anomalies in the evacuation of scrap metal of this 2,000-ton stamping press, to reduce the downtime and damages induced by scrap metal jams.

To achieve this, ADI OtoSense Quality Control learned the behavior of this press, across 60 different parts it produces, using non-intrusive sensors (one microphone and three accelerometers) as well as PLC (Programmable Logic Controller) data.

High-pressure pump

Test time cut by 35%

High-Pressure Pumps used for large reverse osmosis operations have to sustain constant operations in harsh, saltine conditions, for years at a time. For this customer, quality is not an option. Each pump undergoes a thorough End-of-Line test, involving a complex recipe breaking the pump in and pushing it to its limits.

ADI OtoSense Quality Control leverages all the existing sensing data and an additional vibration sensor attached to the test rig to predict the outcome of the test recipe before it is over, with 100% confidence, reducing the test time by 35%.

Accelerating the test time allows to test more pumps every day, increasing throughput.

Fridge

100% Testing enabled

Any manufacturer fears for its reputation when a product leaves its warehouse without having been tested.

A major white goods manufacturer finally found a way to go beyond the acceptance sampling plans and is now able to test the entirety of its production before they are put in the hands of customers.

As the refrigerators reach the End-of-Line on a conveyor belt and pass by ADI OtoSense Quality Control, their serial number is collected along with a few seconds of sound. By reading the serial number, ADI OtoSense Quality Control deduces the fridge model and applies the corresponding AI model to control the quality of the compressor: 100% of the production is now tested.

Pick & place

100% Damage check

A single wafer hosts tens of thousands of dies— final semiconductor products. A single scratch on an edge will have a catastrophic impact on hundreds of dies made from that wafer.

Analog Devices own manufacturing facilities trust ADI OtoSense Quality Control to check the operation of the robot that moves silicon wafers within the Gasonics tools.

Using a microphone, sound is acquired as the wafer transfers between the cassette, chamber and cooling plate. The system alerts technicians if it detects any scratch or chip. The damaged wafer can be removed and prevented from completing the remaining processes only to be scrapped at the end.

Compressor

Predicting the undetectable

Manufacturing the air conditioning compressors that keep us comfortable in our cars requires producing a complex good at high volume, with very limited testing time available. Our customer, an automotive manufacturer, is reaching the highest quality standards: they were concerned with an elusive fault that was not identified during the standard End-of-Line testing.

ADI OtoSense Quality Control, acquiring data from a single microphone, learned the test recipes of the various compressor types and became able to predict this elusive fault during the End of Line testing. By sending its output in real time to the PLC (Programmable Logic Controller), the questionable part can be automatically removed from the line for further inspection.

Robotic assembly operation

Catching damaged part

Robotic assembly involves performing complex tasks requiring powerful, yet extremely precise operations. Sometimes, an operation goes wrong, the assembled part is damaged. In most situations, the damage is caught but well down the line, adding to the initial damage the need to disassemble the part that includes it.

Our customer, an automotive manufacturer, put ADI OtoSense Quality Control to the task of controlling the quality of an assembly operation that involves forcing a metallic or plastic cylinder into a metal tube.

ADI OtoSense Quality Control, acquiring data from two microphones, is able to identify a major failure mode, providing through PLC (Programmable Logic Controller) a real-time output allowing to flag this part and put it aside for human inspection, preventing it from continuing its path down the line.

A leap forward

Photo of a man searching on a laptop in a warehouse

How it works

Test fast, miss nothing

The ADI OtoSense Quality Control software performs all the quality control operations at the edge, in real time. The hardware used is sourced from the most trusted suppliers in the industry, providing the best association of performance and flexibility. Analog Devices' (ADI) 55-years of expertise with sensing and signal chains ensure that best-in-class sensing data is provided to the software.

VIEW USER GUIDE

Testing

Any part or process

Data from automation

Timestamp, ID and more

Analog sensor inputs

Wide range of IEPE sensors

User interface

Access data, provide feedback

Direct output

Real time signalling

Computing & storage

OtoSense-enabled edge device

Server

User and device management

Testimonials

Trusted by experts

Our relationship (with ADI) was built around AI and CbM. The “aha!” moment for us occurred when we realized their technology had the ability to both detect and diagnose very specific events with our pumps - not just vague areas of potential problems leaving us to connect the dots. This has helped us learn very quickly, and now we’re seeing the potential for faster and more energy-efficient, post-production testing because of it.

Georg Herborg Enevoldsen

R&D Director, Danfoss High Pressure Pumps

Trusted by experts

At Mahle, we are focused on delivering a superior customer experience through our high performance eCompressors. OtoSense’ Quality Control enables us to meet our production growth targets by accelerating the quality control process, while operating at the same high level of excellence

Miguel Guillen

MAHLE Manufacturing Management, Inc.

Trusted by experts

By offering us an end-to-end solution, from acoustic signal collection to the interface for classifying anomalies detected by machine learning, the OtoSense solution allows us to engage our line operators to improve system performance. This allows us to address new use cases, encouraging the adoption of the solution by workers on the line.

Antoine Leblanc

Expert Industry 4.0 Renault Group

Next steps

Get results, scale your quality
control operations

01 Try

02 Prove

Set up a quick on-site deployment demonstrating the behavior of the system in production.

03 Deploy

The system is connected to the industrial automation and IT systems, ready for production.

Get started with ADI OtoSense™ Quality Control

Tell us more about your applications.

Get in touch

Improve any sensor-drivenquality control operation

ADI OtoSense™ Quality Control is an AI-driven sensing interpretation hardware and software solution that automates operations in your manufacturing environment.

Overview

Real-time quality control, where you need it

Benefits

Better quality, higher throughput

Reduces testing time

Catches hidden defects

Adapts to any part or process

Use cases

Trusted on the factory floor

Stamping press

High-pressure pump

Fridge

Pick & place

Compressor

Robotic assembly operation

A leap forward

How it works

Test fast, miss nothing

Testing

Data from automation

Analog sensor inputs

User interface

Direct output

Computing & storage

Server

Testimonials

Trusted by experts

Trusted by experts

Trusted by experts

Next steps

Get results, scale your quality control operations

01

Try

02

Prove

03

Deploy

Get started with ADI OtoSense™ Quality Control

Improve any sensor-driven
quality control operation

Get results, scale your quality
control operations