Video Analytics Implementation Challenges + Opportunities

In our blog, we have demonstrably argued for some benefits and application of the Video Analytics technology. For successful application of Video Analytics however, empirical evidence shows that several critical factors that need to be taken into account.  According to Aimetis, a video security and surveillance management company, lists environmental factors and computational factors as the key determinants of a successful use of Video Analytics. Among others, camera angel, weather conditions, background lightning levels can all impact the video analytics algorithms. In addition, computational factors such as processing power of the recorded segments, resolution and frame rate as well as storage capacity all play a vita role in the final delivered value to clients using a Video Analytics service. Nonetheless Aimetis also states that: ”repeat occurrences of false alarms, combined with undetected events, can significantly deter end users from using video analytics”. 

With regards to previous application of Video Analytics, the absence of sophisticated processing hardware, autonomous and intelligent camera that can track movement transformed today’s application of Video Analytics to a more conventional and labor intensive practice. For example, in a secure environment using cameras, previous practice would require a classic situation room, with security personnel to monitor and judge the video content. While Video Analytics does rationalize some of the costs, the benefits of Video Analytics is still in continuous development. Environmental factors described above are difficult to control while cost of processing and detecting desired result from video analytics could equally depend on the funds a company is ready to invest in the technology and devise how such cost can offset conventional video surveillance methods described above.

However, as the world continues to move toward an ever more sophisticated information society, the development and forceful implementation of Video Analytics Technology is here to stay and keep evolving toward higher value and delivered results for its clients.

How far can we go? (Video analytics vs. privacy week)

The application video analytics is perhaps most often associated with is security. For some, security is the ultimate goal, the only true value. But for others, improvements in security have to be weighed against other values, such as privacy. As video analytics becomes everyday and common, societies will eventually have to take a stand towards how far can we go? When does automatic video surveillance, face recognition etc. become intrusive? Should the surveillance data be stored? Who has access to it? What should it be used for? Many questions remain unanswered, and it’s hardly surprising that security companies and civil rights groups are at odds here. In any case, the discussion that will take place during the next few years will be very interesting and will shape the society of the future. Technology will eventually enable absolute connectivity that will make our lives easier and mostly better. On the other hand, this can result in almost total loss of privacy. Finding a balance is likely to prove to be a tricky task.

How about privacy?

Our theme of the week: Video analytics and individual privacy

Here are two critical views on the topic, more to follow.

Whats wrong with public video surveillance?

Big brother – you may be watching but how much should you see?

Let The Boston Tragedy Be The Last

The Boston Marathon Bombing left a scar in the hearts and minds of the people and reminded us that we live in a world where death might be just around the corner.

As already mentioned in the earlier posts, Video analaytics is a tool that is widely used for security purposes. In the case of the recent bombings, Video analytics was used in the investigation process to identify the suspects and locate the origin of the blasts.

The main point of this post is not to praise video analytics that helped capture the suspects in a manner of days.

With the use of video analytics we have a chance at preventing such event from happening.

Experts suggests that VA can be used to identify unattended belonging as was the case in Boston.

Let’s hope that the speed of VA development is faster than the speed of potential terrorists using new technology to unleash a reign of terror again.

How Intelligent Video Analytics (IVA) is changing video surveillance

Video Surveillance has been used as a security tool for a long time. The idea of having a control room from where guards or operators could watch what was happening at different places at the same time made patrolling activities cheaper and more comprehensive. With time, more and more cameras (and monitors) started being used in order to ensure that every inch of a building or an area was being covered by the system. However, the vast amount of images generated made it complex to manage all that information. As it became increasingly harder for humans to deal with such high quantities of different images in different screens at the same time, machine intelligence then was introduced to facilitate data management. The newest thing today is the use of Intelligent Video Analytics (IVA) to help in real time event detection and also in post event analysis. These might include motion and intrusion detection, asset protection, pinpoint an event in recorded video, etc. This technology helps to increase productivity and efficiency of video surveillance systems and the people who monitor them, focusing on automating video analysis and security alerts, therefore reducing the need for manual work and also decreasing monitoring costs.

IVA is becoming a vital component in the growing surveillance systems industry and it is projected to be the most important technology segment of that sector. The IVA market is expected to grow to $867.8 million by 2017, according to some studies. 

Check out the videos below to see a IVA system working.