Have you ever wondered that the CCTV cameras we use in our workplaces, retail stores, jewelry shops, etc. are being underutilized compared to what they are actually capable of? There are many use cases that can be solved by using your CCTV cameras be it any anomalous event happening around. Here in this blog, we will talk about one of the major concerns of the retail industry i.e. Shoplifting. https://www.datatobiz.com/blog/shoplifting-concern-for-the-retail-industry/

1. Shoplifting
A Big Concern for the
Retail Industry

2. Have you ever wondered that the CCTV cameras we use in our workplaces,
retail stores, jewelry shops, etc. are being underutilized compared to what they
are actually capable of? There are many use cases that can be solved by using
your CCTV cameras be it any anomalous event happening around. Here in this
blog, we will talk about one of the major concerns of the retail industry i.e.
Shoplifting. Along with this, we’ll also talk about how we at DataToBiz
approached the solution to the problem.
These days Computer Vision and Deep Learning are becoming prime choices for
automation of daily work at many places. The reason behind their success is
that they have an edge over providing security to businesses. But, till now only
big enterprises have unleashed the potential of automated systems. This time,
we at DataToBiz have come up with a solution that any business, be it small or
big can use to prevent their daily business loss. As we all know, most of the shop
owners nowadays prefer to install CCTV cameras in their shops. But, on a
broader view, they limit their motives to only 2 purposes. First, to keep recordings
of previous ‘n’ days. Second, to monitor the CCTV live stream for any anomalies.

3. According to the 2018 National Retail Security Survey (NRSS) inventory
shrink, a loss of inventory related to theft, shoplifting, error, or fraud, had
an impact of $46.8 billion in 2017 on the U.S. retail economy.
According to a survey released by the shoplifting prevention association,
Metropolitan Police Department of Japan, the loss is estimated to be 4615
billion yen per year, which is equal to 12.6 billion yen per day. The stunning
figure of 12.6 billion daily loss is equal to buying 126 Tesla model S (Big
enough! Right?).
And, if we look wisely there is no such manpower that can watch
continuously to all such cases daily, and also will not be feasible for any
business.
MOTIVATION BEHIND THE SHOPLIFTING
SOLUTION

4. TECHNICAL APPROACH TO
THE SOLUTION

5. We have implemented a 3DCNN (3-Dimensional Convolutional Neural
Network) to process the CCTV video stream and extract the
Spatiotemporal Features out of the frames. Spatiotemporal features are
different from traditional 2DCNN models in a way such that it extracts
features for an extra segment i.e. Temporal Segment. 3DCNN feature
extractor takes a batch of frames as input and out of those frames, it
selects some of the frames only for capturing ‘appearance’ features and
some of the frames for capturing ‘motion’ related features. Let’s take
examples of two different 3DCNN models proposed by Facebook and look
at the way these models select frames for feature extraction.
WHAT'S NEW IN OUR PROPOSED SOLUTION ?

6. After extracting features, a model is built to perform certain pre-
processing to bring down all the features into a fixed shape and then
perform regression or classification on the extracted features. Here,
whether to do classification or regression depends on your selected
feature extraction model and the target use-case. Setting a threshold
above which your model will treat the event as anomalous will be different
from use-case to use-case because some human activities are
comparatively easy to detect (e.g. Running, Eating, etc.) and some are
hard (Shoplifting, Shooting, etc.). Once the Shoplifting event is confirmed
by the model, a dedicated pipeline has been set up that sends
notifications (messages, sound, etc.) to the staff members present there
along with that particular event’s screenshot.
C3D VS SLOWFAST - BY FACEBOOK

7. Read the full
article here
https://www.datatobiz.com/blog/shoplifting-
concern-for-the-retail-industry/