Object recognition, especially its deep
learning-based variety, has the potential to save lives by helping doctors diagnose
diseases from high-resolution photographs, MRIs, and CT scans.
Medicine is a rare field that already possesses well-organized and labeled collections of
images, making deep learning model development faster and easier.
While object detection is good enough for
discovering abandoned packages or spotting suspicious behavior, more sophisticated tasks
require video object recognition solutions. The latest applications of object recognition
for protecting public safety include searching and identifying vehicles (with or without
license plate information), recognizing types of weapons wielded by offenders, and even
identifying drivers who use their mobile phones behind the wheel.
Object recognition has been successfully applied
by media companies with large databases of images and videos — as a tool for automating
content organization. Besides, object recognition is involved in accelerating content
retrieval (e.g. in cases of complex search requests) and improving compliance (by
effectively filtering explicit or violent imagery).
Retail has been lagging behind online stores in
terms of collecting and using real-time product data, but object recognition is about to
change that. The new solutions use object recognition and powerful cameras to assist in
inventory management, identify low-stock or misplaced items on the shelves, perform
quality control, and automate other highly mundane product operations. Every second of
time saved results in increased turnover down the line.
Rapid and reliable video object recognition is
the foundation of autonomous driving. The system must indicate road signs or separate
pedestrians from buildings with 100% accuracy to cause the right — and safe — reactions
from the vehicle. For infallible performance, multiple overlapping mechanisms are
designed, such as improving object recognition with intelligent object tracking.
Object recognition, especially its deep
learning-based variety, has the potential to save lives by helping doctors diagnose
diseases from high-resolution photographs, MRIs, and CT scans.
Medicine is a rare field that already possesses well-organized and labeled collections of
images, making deep learning model development faster and easier.
While object detection is good enough for
discovering abandoned packages or spotting suspicious behavior, more sophisticated tasks
require video object recognition solutions. The latest applications of object recognition
for protecting public safety include searching and identifying vehicles (with or without
license plate information), recognizing types of weapons wielded by offenders, and even
identifying drivers who use their mobile phones behind the wheel.
