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Asad syed
Managing Director of Retail Sensing Limited and Managing Director of Biodata Limited
Managing Director of Retail Sensing Limited and Managing Director of Biodata Limited

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Latest issue of Monitor - ISSN 1472-0221 - Now Up
The newsletter for data acquisition and control
In this issue - Smart Cities, saving data from an RS422 laser sensor, measurement & control exhibitions, DAQ news roundup.

Smart City VT - 'Internet of Things' Sensors

The need for complex and integrated city wide solutions will drive and foster convergence in the Smart City market.

Companies will actively partner and converge with other players in the smart city ecosystem to create and offer intelligent services.
Convergence between product vendors and developers, networking companies and technical system integrator's will create the smartest solutions in the market.

A smart city capable of becoming both environmentally sustainable and attractive to citizens and businesses requires a new kind of intelligent infrastructure — An innovative and open platform based on smart sensor networks that can help forward-looking cities more predictably integrate a complex suite of services cost-effectively, at pace and at scale.

A smart city can create an efficient and smart services delivery platform for public and municipal workers by installing sensors in the city and to create platforms that allow the share of information and give it for proper use to the public, city managers, businesses and professionals. The platform can have common data warehouse where different sensor system store their information.

Internet of Things Sensor technology has the power to provide data about what’s going on in a number of unprecedented ways. It changes the way we can understand, manage and study cities. Citizens can be better engaged by having more city data available.

Retail Sensing’s Smart City Technologies have been developed to serve the Smart City Market as ‘Internet of Things’ Sensors and Hardware / Software solutions.

We call these the Smart VT - IOT Sensors (Urban Sensing)

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While there are many definitions of a smart city, in general, a smart city utilizes #IoT #sensors, actuators and technology to connect components across the city, and it impacts every layer of a city, from underneath the streets, to the air that citizens are breathing. Data from all segments is analyzed, and patterns are derived from the collected data.


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Retail Sensing Limited Vehicle Counting System
Retail Sensing are excited to launch their innovative vehicle traffic counters

Using CCTV and intelligent counting units, the traffic counting system achieves over 98% accuracy in all conditions: day and night in rain, sun and snow.

The vehicle traffic detectors can be set to count vehicles going straight on or turning. One camera can cover several exits of a junction. At four-way junctions, for example, the system provides multi-directional counts for vehicles turning north, south, east or west and coming from any direction.

Other benefits include

☼ Traffic data is uploaded securely in real-time to web browsers: users can log into their password-protected on-line accounts from anywhere.

☼ There is no limit to the number of roads and junctions on which traffic can be counted using the scaleable CCTV system.

☼ Users can easily verify the vehicle counts simply by watching the video back and seeing the counts increase as the cars pass.

☼ Counts can cover any period of time: the number of cars passing in each hour or each day for example.

☼ Local video analytics minimises bandwidth use

☼ Easy set-up of vehicle traffic counting system

Learn  more at

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People Counting Retail Market Undergoing $3 Billion Technology Evolution, According to ABI Research

New in-store analytics technologies are forecast to drive a $3 Billion market by 2018 for people-counting equipment vendors, while also revolutionizing brick and mortar stores for both retailers and shoppers.

ABI Research's report, "Retail Customer Analytics: Technologies, Markets, and Revenues", has forecast all major analytics technologies across 10 major retail sectors. Traditionally this market has focused on footfall/people counting and queue management, largely based on thermal imaging and camera analytics technologies. New smartphone-based technologies will work in synchronization with existing systems, enabling a much higher level of analytics including pathing, dwell times, repeat customers, and aisle-level product interaction. 


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Queue Management system monitors and let you minimise queues 
Which gives happier customers, more efficient services, better staff allocation and increased sales

A CCTV queue monitoring system reports
- The number of people currently in a queue.
- The queuing time of the last person to leave the queue
- The number of active service points (for example tills)
- How many people left the queue before reaching the front.
- How many people jumped the queue.
- The average queuing time over the last, say, 15 minutes
- The average queue length
- Daily figures, for example, 95% of people queued for less than 5 minutes.
More benefits of queue measurement are at
#queuing   #queue   #queuemanagement   #retailsensing  

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How to reduce queuing time by 86%

using cameras and people counters
#retail   #queuemanagment  

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Excellent article from +WorkplaceSystems by +Debbie Cates  about using retail traffic counting to improve staff scheduling

Despite more than 50 per cent of North American specialist retailers installing traffic monitoring systems in some or all of their stores, not enough companies are using the data this gives them to maximise their sales opportunities. 

Retail traffic counts can be integrated with workforce management systems to improve staff scheduling.  Numbers from video store traffic counters (like ours) can also be integrated with point-of-sale (POS) data and sales conversion figures calculated throughout the day. This means that retailers have hard data as to whether increasing the amount of staff present on a given day did, in fact, increase sales efficiency. If it hasn’t, they can also investigate why. 

The article is at

Plus we've more on retail traffic counting at

#retailtraffic   #retail   #staffing  

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Retail traffic counting improves staffing and increases sales
When shoppers aren't sure what to buy, and don't get helpful advice from retail staff, 90% of them leave empty-handed, according to a consumer survey by TimeTrade.

It gets worse. If the 90 percent of shoppers had received the help from shop assistants, 86 percent of them would have purchased even more than planned.

The survey found that when consumers aren't sure of what to buy, and actually get the help they need:
- 93% are more likely to buy
- 90% would shop at the same store the next time
- 84% leave more satisfied
- 86% buy more than they expected

“Every retailer can do the math,” said Gary Ambrosino, president of TimeTrade. “We’re talking about billions of dollars in lost sales – all because retailers don’t have the right sales associates connecting with the right customers at the right time.”

But retailers have limited resources to devote to staffing. To optimise the number of shop assistants available, managers need to know when are their peak shopping times and busiest footfall. A video
retail traffic counter shows hourly, half-hourly or even 5-minute break-down of the number of people entering the store. The counts can be integrated with a workforce management system, making it easy to create better forecasts and staffing schedules.

Identifying key selling periods lets retailers allocate more staff at busy periods, and choose to have their best shop assistants on the floor at these times.

Counts from video retail traffic counters are also sent to point-of-sale (POS) databases in near real-time. This means that sales conversion figures can be produced every hour or even every 15 minutes. Retailers now have concrete data as to whether their staff scheduling met their sales potential. And take steps to improve when the system highlights inefficiencies.
#retailtrafficindex   #retail   #footfall  

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Footfall Heath Check shows 99% Accuracy at Indoor Ski Resort

Manchester's premier indoor ski resort and tourist attraction, Chill Factor e,  wanted to monitor footfall across the main entrances into the venue. We installed the Video Turnstile system across the entrances and stored the data centrally on the ski resort's server. 

Chill Factore use the valuable and reliable information generated through the video footfall system to run the ski resort more effectively and efficiently. For instance, it helps them:
- Effectively manage their staff;
- Monitor and analyse footfall trends throughout the year;
- Analyse and benchmark footfall into the venue during special events;
- Verify successful promotional and marketing strategies;
- Justify rents charged to shops within the venue;
- Monitor and benchmark key performance indicators like sales conversions;
- Compare the people counts with tickets issued for skiing events.
More at

#Manchester   #footfall  
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