AI for High Speed Printing

Recent advancements in the field of deep learning and computer vision have led to highly accurate and versatile print inspection. Overview is excited to announce the first deep learning based print vision system to make dramatic improvements in text recognition for wire and cable production.

Current Challenges in Print Inspection

Print defects are one of the most common and costly defects in wire and cable manufacturing. Incorrect text, smudging, faded print, and missing print are all defects that should not be present on high quality wire and cable. These types of defects are not only cosmetic but can also be costly to spot and lead to misuse by end customers.

Complexity

Printed patterns and twisting on wire and cable can be highly complex for current systems based on older pattern matching algorithms to inspect.

Font and Defect Types

There are countless types of fonts & print defects and capturing them with classical algorithms tends to lead to a high number of false positives.

Variability

Visual appearance varies drastically between applications due to the type of material and speed on each line. Even high volume product lines often run a variety of sizes and colors.

Overview’s deep learning algorithms overcome these challenges and catch errors in real-time to address print defects. Defective areas can be quickly identified and reported while avoiding irrelevant variations.

  • Improve your customer relationship by ensuring that you do not ship defective products
  • Eliminate scrap and rework resulting in material cost and labor cost savings
  • Easily integrate into existing production lines

Easy to Use

Simple set up with no software development skills required. Works well with all wire types & fonts

Accurate

Outperforms manual inspection & random sampling

Versatile

Works at speeds up to 1000ft/min & diameters up to 1”

Overview Camera installed inline with an inkjet printer on an extruded cable line
The Overview dashboard provides operators real-time alerts and analysis, allowing for immediate corrective action and deeper root cause analysis.

About Overview

Overview leverages computer vision to make products that allow for transformative changes in factory operations and cable quality. A factory outfitted with Overview cameras can go from a manually run facility to a highly automated data-driven facility without the need to upgrade any existing equipment. Factories taking advantage of Overview’s cameras make more cable per operator, with less scrap and rework. The ongoing data analysis helps drive efficiency and improvement in ways that constantly surprise our users. We are always looking for partner customers that want to try to push automation and digitalize operation.

Russell Nibbelink Overview Co-founder

Russell Nibbelink

Co-founder & Head of Engineering

Russell Nibbelink is the head of engineering and a co-founder at Overview. At Overview, he leads the team that helps customers implement cutting-edge, high-speed deep learning algorithms to reduce manufacturing waste and defective parts. 

Before joining Overview, Russell was a software engineer at Salesforce, where he worked on web-scale infrastructure projects. His many accomplishments at Salesforce include the migration of Salesforce’s largest customers to upgraded hardware with no downtime, live database change record ingestion, and the creation of visibility tooling for calculating data throughput rates.

Russell received his Bachelor of Science from the University of California Berkeley College of Engineering, where he was also the head teaching assistant in the field of High Performance Computing.

Chris Van Dyke Overview CEO

Chris Van Dyke

Co-founder & CEO

Chris Van Dyke is the CEO and co-founder of Overview. He is responsible for the company’s strategic direction, corporate development, sales and marketing. With over 16 years of engineering and manufacturing expertise, Chris focuses on optimizing customer’s manufacturing operations using artificial intelligence and computer vision to accelerate product development, reduce rework, and improve yields. Since founding Overview in 2018, Chris has been instrumental in building a company and team dedicated to a disruptive, positive impact on manufacturing for decades to come. 

Before Overview, Chris served in several senior manufacturing engineering positions at Tesla for eight years. For Tesla’s Model 3, he led the 80-person battery design team from the initial battery concept to the product launch to the high-volume production. He also managed the infrastructure and equipment design for the first Gigafactory, including equipment for supporting battery cell manufacturing. Chris also launched Tesla’s Electric Vehicle Supercharger Program, with more than 25,000 stations worldwide. 

Prior to Tesla, Chris was a senior engineer at H2Gen Innovations, during which time he co-authored multiple patents. Chris holds a Bachelor of Science degree in Mechanical Engineering from Stanford University and a Master of Science in Chemical Engineering from the University of Virginia.

Austin Appel

Co-founder & Head of Product

Austin Appel is the head of product and a co-founder at Overview, where he is responsible for leading product development and operations. With over 8 years of experience in manufacturing and systems engineering, Austin works with customers to ensure that manufacturing operations can quickly adopt and use artificial intelligence-based computer vision systems.

Before Overview, Austin spent four years at Tesla in various capacities, including battery manufacturing, and research and development (R&D). He led the design for manufacturability (DFM) and automation efforts for the Model 3 battery pack production at Tesla’s first Gigafactory. Earlier at Tesla, he expanded the production of Model S and X battery packs through equipment design and implementation.

Austin holds a dual Bachelor of Science degree in Manufacturing Engineering and Mechanical Engineering from Northwestern University.