Computer vision is a subset of AI that processes and analyzes visual inputs to derive meaningful information and make recommendations. It is crucial in manufacturing to detect defects, where poor quality can cost up to 40% of operations. Techniques such as image classification and object detection using bounding boxes are employed to track and identify objects in images.

1. Swipe to see

2. Computer Vision is a subset of
AI that can “see, process and
analyze” visual inputs. It
combines Image Processing &
Machine Vision to enable
computers to derive meaningful
information from images,
videos, & other
visual inputs — and take actions
or make recommendations.

3. COST OF DEFECTS IN
MANUFACTURING
Every year, defects cost
manufacturers millions of dollars.
Costs associated with quality can
reach up to 15-20% of sales
revenue or even 40% of overall
operations. The high pace of
production makes it impossible for
human inspection to reign in the
damage.

4. Predicts a target
object's position in
each consecutive
frame
once the initial
position in a video
is defined for the
target object.
Image
Classification
Categorizes
groups of pixels
within an image
using a set of
predefined tags
or categories
trained on by an
algorithm.
COMPUTER VISION
TECHNIQUES
Gramener uses Machine Vision
to conduct
The presence of
objects in an
image is located
and indicated
with a bounding
box.
Object
Localization
Object
Detection
Uses a bounding
box to detect the
presence of
objects in an
image and
identifies the
types of objects
found.
Object
Tracking

5. EXPLORE
GRAMENER’S
DEFECT
DETECTION
SOLUTION
https://reachus.gramener.com/damage-detection/