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.


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.


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


Outperforms manual inspection & random sampling


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 is a co-founder and head of engineering of Overview. At Overview, Russell helps customers implement cutting edge high speed Deep Learning algorithms. Prior to joining Overview, he was a software engineer at Salesforce where he worked on web-scale infrastructure projects. Russell received his BS from UC Berkeley’s College of Engineering, where he helped teach a class on High Performance Computing.
Chris Van Dyke Overview CEO

Chris Van Dyke

Co-founder & CEO

Chris Van Dyke is a co-founder and the CEO of Overview. Prior to founding Overview, Chris spent eight years in manufacturing engineering at Tesla. Most recently, he led the 80 person battery design team through the launch of the Model 3. During which time he was principally responsible for taking the team from battery design to high-volume production. Earlier in his career at Tesla he managed the infrastructure and equipment design for the first Gigafactory project including equipment for supporting battery cell manufacturing. Chris also launched Tesla’s Electric Vehicle Supercharger Program, which currently has more than 16,000 stations nationwide.

Chris holds several patents from his time leading custom equipment design while a Senior Engineer at H2Gen Innovations. Chris received his BS from Stanford University in Mechanical Engineering and an MS from the University of Virginia in Chemical Engineering.

Austin Appel

Co-founder & Head of Product

Austin Appel is a co-founder and head of product of Overview. At Overview, Austin leads product development and operations. Prior to Overview, Austin spent four years at Tesla in roles across battery manufacturing and R&D. He led the DFM and automation efforts for Model 3 battery pack production at Tesla’s first Gigafactory. Previously he expanded Tesla’s production of Model S and X battery packs through equipment design and implementation. He holds a dual bachelors degree in Manufacturing Engineering and Mechanical Engineering from Northwestern University.