I saw this article and did a real quick once over in my house. Found a couple of spots where I can certainly make quick adjustments. With all the power outages recently, we often think about ongoing entertainment. So one of the things I do is setup our Portable DVD players under the regular TV with a library of DVDs. Each of the DVD players is plaugged in to keep it charged. I moved things around a little, so I can, at any point in time unplug the TV, the FIOS Settop Box, and all the DVD Player at one time when not in use. Looking forward to those millions of dollars in savings... Or maybe just a few bucks...
Here's the article...
http://finance.yahoo.com/family-home/article/113465/top-energy-consuming-items-forbes
Friday, September 9, 2011
ATM Skimming: How Effective is Jitter?
This is an older article from 2010 regarding the "jitter" technology to provide anti-skimming protection. Overall conclusion is the jitter technology should only serve as a piece of the overall anti-skimming solution. I completely agree. Thereare many ways to protect an ATM or Gas Pump from skimming devices, but how does one prove ROI on a device and how much is one willing to spend on the device or overall anti-skimming solution - PER ATM?
Here's the Jitter Article
http://www.cuinfosecurity.com/articles.php?art_id=2667&pg=1
Here's the Jitter Article
http://www.cuinfosecurity.com/articles.php?art_id=2667&pg=1
Thursday, September 8, 2011
Hands Off - Gap’s apprehension strategy stresses safety
I read this interesting article about Hands Off Apprehension. Nto super original really, but gives some ood ideas on what Retailers are doing to train AP folks properly.
Hands Off! STORES.org
Hands Off! STORES.org
3 Charged With 6-State Spree Linked to $550K in Fraud
Good article from CUInfoSecurity.com on another recent update in teh war on ATM Skimming. Three separate individuals brought up on charges.
Here's the whole story...
http://www.cuinfosecurity.com/articles.php?art_id=4031
Here's the whole story...
http://www.cuinfosecurity.com/articles.php?art_id=4031
Video Analytics - Business Intelligence or Infrastructure Security
Just thinking today about the differences between Analytics in the video world, and in particular the business case for the additional costs. It seems there are two very broad categories of Video Analytics. First, Critical Infrastructure Security Analytics, might be considered those used to provide Asset Protection, Loss Prevention, and/ or secure an organization's infrastructure and resources. Most often these are marketed to Airports, Seaports, Government Buildings, and Corporate Offices, because this is the most likely area of an organization that can justify the higher price tag. These are the most popular in nature currently and the ones most of the industry is referring to when they speak about "Video Analytics". These might include items like:
- Setting tripwires
- Object (object might be defined as person or vehicle) left behind
- Object entering an Area Of Interest (AOI)
- Directional awareness
- Flow control
Second, there are what could be referred to as Business Intelligence Analytics. As the descriptor implies, this refers to those analytics in which provide additional business intelligence and by their nature are developed to serve that purpose primarily. Most often these are related to Retail-type of applications (Consumer Retail, Retail Banking, etc.). The analytics would enable the video system to provide items like:
- Conversion Rates - comparing and analyzing shoppers to purchases
- Directional Analysis - analyzing which direction customers move within a given Field of View (perhaps based upon in-store signage)
- Employee Performance - analyzing and comparing numbers of customers serviced by coworkers and providing performance metrics between employees
- Queue Analysis - providing automated response when queues are getting too long, or there is queue abandonment
Of course, the two broad types of analytics could overlap in certain ways. For instance, identifying an object (person) within a field of view and then identifying that object crossing a tripwire could allow an analytics to "Count" people entering a department or Area of Interest - giving the appearance of Departmental Conversion Rate.
But perhaps what is more important is how the analytics, and the overall software package included, can display a Return on Investment. Analytics to date have had a hard time justifying the higher price tags. Now, we're starting to see prices drop, but also quality, accuracy, and expectations drop also.
A brief look at typical Critical Infrastructure Analytics show the most popular, and historically the most impressive Return on Investment (ROI). Frankly, the CI analytics are touted to save lives and reduce loss. Setting up an analytics to detect a "suspicious bag left behind" in an airport can protect the patrons and employees of the airport as well as reduce the possibility of costly terminal shutdowns. Detecting a small boat approaching a larger vessel and triggering alerts can have a huge impact in protecting precious cargo and even even soldiers in battle. But the reality is in those markets, it is very difficult to show ROI as the endeavor is to stop dramatic, and potential very public in nature, events from occurring. In this case, a single "Failure" in a mission critical event such as this may not be acceptable (because it could cause loss of life and or expensive resources).
On the other hand, there is Business Intelligence Analytics. By using department/ product level conversion to identify why "X" number of customers enter an area and yet do not buy a specific product, one can make a very real and immediate change to the layout of the store to increase sales of that product (or replace the product altogether).
Also using a combination of Line Queuing Analytics, as well as, Real-Time Dashboard with Alerts and Forensics, a Store Manager could immediately affect Customer Service (by reducing wait times), and review and compare employee effectiveness.
In addition the risk of failure is insignificant in the overall plan. Missing one or two people in an Area of Interest during a 1 hour period will not cause dramatic, negative results.
- Setting tripwires
- Object (object might be defined as person or vehicle) left behind
- Object entering an Area Of Interest (AOI)
- Directional awareness
- Flow control
Second, there are what could be referred to as Business Intelligence Analytics. As the descriptor implies, this refers to those analytics in which provide additional business intelligence and by their nature are developed to serve that purpose primarily. Most often these are related to Retail-type of applications (Consumer Retail, Retail Banking, etc.). The analytics would enable the video system to provide items like:
- Conversion Rates - comparing and analyzing shoppers to purchases
- Directional Analysis - analyzing which direction customers move within a given Field of View (perhaps based upon in-store signage)
- Employee Performance - analyzing and comparing numbers of customers serviced by coworkers and providing performance metrics between employees
- Queue Analysis - providing automated response when queues are getting too long, or there is queue abandonment
Of course, the two broad types of analytics could overlap in certain ways. For instance, identifying an object (person) within a field of view and then identifying that object crossing a tripwire could allow an analytics to "Count" people entering a department or Area of Interest - giving the appearance of Departmental Conversion Rate.
But perhaps what is more important is how the analytics, and the overall software package included, can display a Return on Investment. Analytics to date have had a hard time justifying the higher price tags. Now, we're starting to see prices drop, but also quality, accuracy, and expectations drop also.
A brief look at typical Critical Infrastructure Analytics show the most popular, and historically the most impressive Return on Investment (ROI). Frankly, the CI analytics are touted to save lives and reduce loss. Setting up an analytics to detect a "suspicious bag left behind" in an airport can protect the patrons and employees of the airport as well as reduce the possibility of costly terminal shutdowns. Detecting a small boat approaching a larger vessel and triggering alerts can have a huge impact in protecting precious cargo and even even soldiers in battle. But the reality is in those markets, it is very difficult to show ROI as the endeavor is to stop dramatic, and potential very public in nature, events from occurring. In this case, a single "Failure" in a mission critical event such as this may not be acceptable (because it could cause loss of life and or expensive resources).
On the other hand, there is Business Intelligence Analytics. By using department/ product level conversion to identify why "X" number of customers enter an area and yet do not buy a specific product, one can make a very real and immediate change to the layout of the store to increase sales of that product (or replace the product altogether).
Also using a combination of Line Queuing Analytics, as well as, Real-Time Dashboard with Alerts and Forensics, a Store Manager could immediately affect Customer Service (by reducing wait times), and review and compare employee effectiveness.
In addition the risk of failure is insignificant in the overall plan. Missing one or two people in an Area of Interest during a 1 hour period will not cause dramatic, negative results.
Tuesday, September 6, 2011
ATM and Gas Pump Skimming - On the Rise?
Maybe its just me, but it seems there has been a rise in the number of Skimming cases across the US in recent months.
May 2009 - New York - Estimated 500K USD lost due to skimming devices
Sept 2010 - South Florida - ATM and Gas pumps found with devices
July 2011 - Houston, TX - 400K ATM Skimming Scam
July 2011 - Global ATM Skimming Ring Busted
Aug 2011 - Sacramento, CA - 2 men facing charges of ATM Skimming
Sept 2011 - Tampa Bay, FL - approx 44 customers defrauded at area ATMs
Sept 2011 - Seattle, WA - 3 Charged With 6-State Spree Linked to $550K in Fraud
There are of course many more than these, but it seems to be an increasing issue in the field. Some would estimate the problem of Card Fraud totaling over 2 BILLION dollars in recent interviews. This number is staggering considering the limited effort ATM manufacturers have put toward actually solving the problem. Some have attempted to correct the problem by adding jitter technology into the machines themselves, which can be a costly effort to outfit legacy machines. Others take a more unintrusive route with a combination of detection and jamming devices. Each has ways of providing parts of the solution, but it still seems pieces are lacking.
May 2009 - New York - Estimated 500K USD lost due to skimming devices
Sept 2010 - South Florida - ATM and Gas pumps found with devices
July 2011 - Houston, TX - 400K ATM Skimming Scam
July 2011 - Global ATM Skimming Ring Busted
Aug 2011 - Sacramento, CA - 2 men facing charges of ATM Skimming
Sept 2011 - Tampa Bay, FL - approx 44 customers defrauded at area ATMs
Sept 2011 - Seattle, WA - 3 Charged With 6-State Spree Linked to $550K in Fraud
There are of course many more than these, but it seems to be an increasing issue in the field. Some would estimate the problem of Card Fraud totaling over 2 BILLION dollars in recent interviews. This number is staggering considering the limited effort ATM manufacturers have put toward actually solving the problem. Some have attempted to correct the problem by adding jitter technology into the machines themselves, which can be a costly effort to outfit legacy machines. Others take a more unintrusive route with a combination of detection and jamming devices. Each has ways of providing parts of the solution, but it still seems pieces are lacking.
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