Over the years, video surveillance has made great improvements in regards to design, features, functionality and application. As our technologies continue to evolve, the surveillance industry is bound to grow and expand even further.
In 1996, Axis Communications introduced the first IP Camera. This was originally used for monitoring the sea for oil spills, saving their customers from having to take two flights a day. Decades later, digital cameras are now the norm, from entertainment to security purposes.
When it comes to security, because we are very visual and use our eyes more than any other senses, we tend to prefer video. This is why we see CCTV surveillance cameras nearly everywhere these days. But how can we improve it?
Video surveillance can be valuable to businesses, however, monitoring the live feed 24/7 is not very realistic. Other detection tools, such as perimeter breach or motion detection, in conjunction with an alarm or alert system helps to improve security. But, as with most things, it has its flaws. These can include problems with detecting the breach, a bad judgment call in regards to what is seen, how long the feed is monitored and the length of backtracking.
Video analytics is more prevalent these days and makes efforts to address this issue. Thanks to advancing software and artificial intelligence (AI), video analytics can determine a human from an animal, eliminating false alarms caused by a pet at home. It also eliminates human error and takes motion detection a step further, as some systems can also distinguish between a known house member and a stranger.
Business and home protection continues to advance as more security camera systems integrate video analytics along with alarms, PIR sensors, and smart recordings. And thanks to edge computing, these technologies are becoming more accessible. By performing data processing at the edge of the network, close to the source of data, edge computing ultimately optimizes system performance.
But aside from all these advancements and improvements, privacy is still an important issue. Many feel uncomfortable having cameras watching over them and having their video streamed into the cloud. But what if our security systems became so advanced that video surveillance became unnecessary?
Hypothetically, an “Optical Analytic Sensor” could use edge computing to process new, updated analytics without having to transmit video. Instead, detailed descriptions of events would serve as data, eliminating bandwidth requirements and video privacy issues. Using advanced tools and AI, this sensor device could learn how to distinguish between known users and strangers. Thus, the device could automatically grant access t authorized users, eliminated passwords, codes, pins or keys. In a commercial setting, this device could sound an alarm for any unauthorized persons while ignoring those who are allowed to be there.
Again, this is all hypothetical and we may be years away from such an advanced and sophisticated system, but this shows how video analytics have the potential of enhancing various security applications.
Video analytics technology has made great advances in terms of features and efficiency over the years. What was once only available for large government or corporate organizations is now making its way to the consumer market. According to recent research, the video analytics market is expected to continue its growth in the coming years.
Here are some of the many benefits we can expect from video analytics software.
With video analytics software, security cameras can do much more. Modern IP network cameras often provide high quality video as well as embedded analytics. With smart business intelligence capabilities, which include queue monitoring and heat mapping, users gain valuable insights for personal safety, marketing, business management, and more. Other helpful analytics tools include people counting, motion detection, facial recognition and license plate readers.
Thanks to advancing technology, the processing power of security cameras and servers has greatly increased and continues to grow. As if that isn’t enough, prices are seemingly on the decline, making it easier for more users to reap the benefits. We can expect to see a market full of highly functional solutions at affordable prices in the near future.
Improved Decision -Making
As video surveillance use continues to soar, video analytics will help operators make informed decisions by delivering reliable information. As a result, the effectiveness and response time for video surveillance will improve.
You should know that most video analytics software for security cameras are either installed on the camera, the NVR, or offered as a third party software. While each will vary slightly, they will follow the same basic operation mode and will produce a beneficial end result.
How do you think video analytics will improve your business security solutions? If you are already using video analytics software, how has it helped? Share with us on Facebook, Google+, Twitter, LinkedIn, and Pinterest.
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Despite how it may be depicted on television or movie screens, reviewing surveillance footage to find evidence is a lengthy process. Sifting through hours, sometimes days, of footage is costly, time consuming, and, when done by humans, is rarely effective. Luckily, advanced technologies can save the day.
Originally, CCTV video footage was used to monitor retail stores or businesses to prevent theft, damage, or employee misconduct, and provide evidence if something were to happen. If nothing occurred, the storage would be overwritten because space was limited and the footage proved useless.
These days, storage capacity has increased and new data processing techniques make this footage extremely useful. The accessibility of recording devices with advanced features is changing the value of videos. And thanks to machine learning and video analytics, surveillance footage can be sorted and evaluated in a timely manner.
Rather than wasting time and resources having humans evaluate footage, video analytics can take care of it. Video analytics is the process of extracting pertinent information from video footage. It basically works like image analytics, but goes a step further.
Image analytics can look at a still image to find patterns, anomalies, and identify faces. Video analytics can do the same, plus measure and track behaviors. Because of this, video analytics has a promising future within different industries.
The Use Of Video Analytics
Because this technology is great for identification, behavior analysis, and situational awareness, various businesses and industries can benefit greatly. Video analytics allows business owners to evaluate who visits their stores, identify peak hours, analyze customer behavior, and more. This gives businesses insight into how they can improve customer service and which deals or displays attract more customers. These types of insights can also benefit the marketing departments, as they can better understand customer demographic and tailor ads to those groups.
Video analytics can even be applied for security and law enforcement. Since body cameras for police are becoming widely adopted, these produce lots of video footage. Video analytics could make the recordings useful by adding rich tagging and indexing, making it easier to search through footage. Parsing through certain time periods and identifying persons with specific characteristics can help to develop leads and even recognize and predict different patterns.
For airports, stadiums and other major event and transportation venues, video analytics can evaluate footage and help to relieve congestion and lines. By monitoring these venues, more workers can be deployed to decrease wait times and improve customer service.
Video-Based Predictive Analytics
While still in the early stages, a new algorithm, as reported by MIT, allows a computer to predict human actions and interactions based on behaviors seconds before the action. The outlook for this algorithm is promising. As it develops, computers could eventually be taught to predict when a crime or injury may take place.
And as artificial intelligence (AI) and robotics become more feasible in our everyday lives, this type of machine learning and predictive analytics will be necessary for robots to interact with humans naturally.
An excellent example of these video analytics in action is Veenome for marketing. Its YouTube analytics tool helps advertisers choose which videos are better suited for them to display ads. Another example is Prozone for sports analytics. By analyzing video footage of the field, players’ stats can be recorded and more effective plays can be planned and executed.
These video-based predictive analytics can also help with decision-making in industries such as aviation, air traffic control, ship navigation, power plant operation, and emergency services. Accidents and crimes can be prevented, thus, potentially saving lives.
Video Gray Area
Of course, as it goes with all surveillance, privacy concerns arise. Currently, analytics where data collection does not require consent is still a gray area. Until laws are in place to protect the public as well as businesses, companies should consider employing video analytics ethically, with respect and privacy to the data and its consumers alike.
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The presence of security cameras often deters people from behaving badly and provides evidence if and when a crime occurs. Most businesses employ video surveillance for loss prevention purposes. However, as surveillance technologies get smarter, video surveillance can play a larger role.
Surveillance data can provide a wealth of information for different industries. For example, in retail, not only do security cameras help loss prevention, but surveillance footage can hold the key to increase sales and improve the shopping experience. Video surveillance data can replace “mystery shoppers” as a more effective avenue of collecting consumer data. For the transportation and shipping industry, surveillance analytics combined with RFID tags can help track cargo, lower operational costs and improve traffic flow.
To achieve such excellent benefits, businesses must seriously consider an effective storage solution. In order to get substantial results, studies must evaluate data over long periods of time, forcing business to get smarter about video surveillance data storage. When choosing the appropriate storage method, the main components to consider are performance, access, and cost.
Because high quality equipment can be costly, considering proper surveillance storage often goes by the wayside. This should not be the case if business analytics are your focus. For an effective system, your means for storage must be able to handle high traffic and high bandwidth without dropping data. If your cameras have high definition, the bandwidth load will only increase from there. For effective performance, your storage should be able to upload, process, and allow access as quickly as possible.
While you need a strong performing system, you must balance your cost. You can spend your entire budget on a storage system that can perform appropriately, but may lack functional organizational. On the other hand, you can cut costs by implementing more affordable means of storage, but again, organizing and accessing this data can become a nightmare.
Your best bet when it comes to storage would be to employ a high-performance, tiered-storage infrastructure that can be managed as a single system. A tiered structure allows data to be stored as a cost-effective medium. The files will be stored based on user defined policies, allowing you to be in total control of your data. Costs are lowered and data is analyzed more effectively.
Business analytics of surveillance data can afford your business with a multitude of benefits. But you can only capitalize on these benefits with an effective storage system. Pay close attention to your options and evaluate your needs before making a final decision.
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Security cameras are great for monitoring areas and deterring crime. But how can video analytics take surveillance a step further?
In the beginning, the promise of video analytics and its capabilities caught the attention of many, but sadly, its performance fell short. But over time, these technologies have improved and video analytics are now offered more confidently. Features such as heat mapping and license plate recognition are delivering what they promise and consumers are pleased with the outcomes. Consequently, security cameras and video analytics are finding themselves more useful than ever in different environments.
For retailers, security cameras provide many benefits. Not only do they help to prevent shoplifting, but are also allowing business owners the ability to analyze customer behaviors in relation to traffic, shopping patterns, and more. Luckily, with these advancements comes a system that is easier to use and deploy.
Video analytics can also help businesses improve their customer service by introducing more checkout personnel when lines get too long, or providing low inventory alerts so that stock can be replenished and customers can get what they need. Because this type of data and marketing metrics is ever useful for business owners, we will likely see an increase in demand and implementation for these types of video analytics.
As with any major purchase, it is wise to do research and find which solution works best for you and your needs. For those who are employing these technologies, how is it helping your business? Are you interested in utilizing video analytics for your business? Share your thoughts and experiences with us on Facebook, Google+, Twitter, and Pinterest.
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