Machine vision for logistics
Today, many artificial vision systems are the simplest
inspection systems to instal and use. They allow timely
identification of trends in production processes with the
interpretation and processing of appropriate results and
are therefore consistent with the philosophy of Industry 4.0.
For example, as existing contact-based inspection products
begin to wear, the products they are inspecting begin to
exhibit an increasing number of errors, or a progressive
deterioration of the quality characteristics of the finished
products. Vision-based inspection on the other hand, are
non-mechanical and retain their precision and accuracy as
long as their electronic components remain functional.
It is for this reason that Kia Motors was already using
artificial vision-based inspection on the production line
for its six-speed transmission. Recently however, they
wanted to improve the reading speed and error rates of
the production line. Prior to its upgrade, the transmission
production line produced around 1,800 units a day, but
only read the unit’s bar code inventory tags correctly 96-97
percent of the time. Similarly, the engine production line
produced 1,300-1,400 engines per day with successful
read rates of less than 97 percent.
To meet these challenges, Kia Motors implemented
DataMan Cognex bar code readers. These units are
optimized with patented algorithms for decoding the
toughest DPM and label-based barcodes in complex
environments. The MX-1502 readers feature a modular
design, with the special rubber casing and screen
protector. The mobile terminal has a lithium polymer battery
that powers both the scanning unit and the smartphone.
The devices also feature inductive, non-contact charging
By Maurizio Di Paolo Emilio,
Improve Machine Vision
for Industrial Applications
Given the increasing need for quality control in industrial environments, artificial vision
is playing a growing role in inspection and
automation applications. Improvements in areas
such as robotics, video cameras, digital signal
processing, and analog-to-digital conversion are
giving engineers advanced inspection capabilities
in sectors such as foods, chemicals, and packaging.
The global machine vision market is now valued
at over $10 billion. Machine vision has found
particular interest in industrial environments such
as process control and inspection. Resolution and
sensitivity are two important aspects of any machine
vision system. While resolution is responsible for
object differentiation, sensitivity offers the ability to
detect objects in low light conditions.
Developments in cameras,
for more accurate,
Figure 1: MX-1502 vision-enabled mobile terminal.