Exploring IBM Video Analytics (Smart Surveillance System)

Author: John Honovich, Published on Jul 06, 2008

IBM offers a unique approach to video analytics. I highly recommend understanding it and its trade offs. While I think most users, outside of the most demanding, will prefer less expensive and simpler solutions, IBM's approach reveals some of the key challenges that video analytic solutions shall be grappling with over the next decade.

At first glance, IBM's Smart Surveillance Solution might appear similar to other commercial offerings. Their video analytics solution provides the fundamentals you might expect. You can select from a number of different type of analytics, you can get alerts based on those analytics and you can search for matches based on the information the analytics generate.

I see two critical differences in IBM's approach that need to be understood and appreciated:

  • IBM is building a complete video analytic overlay to video management systems.
  • IBM is aiming to solve the most challenging and demanding video analytic problems.

These two elements define the most important issues at stake in evaluating IBM's solution and evaluating IBM versus competitive offerings.

Video Analytic Overlay

The standard approach in monitoring and using video analytics is to use the same management system and user interface for analytics as you do for your video surveillance recording. This is common both for vendors who perform video analytics at the edge (ObjectVideo and ioimage are two prominent examples) and for vendors who perform it at the server (for instance, i3DVR and 3VR).

Managing and monitoring video analytics from a singular management system provides a number of benefits. One, it keeps costs low as you reuse your existing video management system. Second, it simplifies user operation as the operator can accomplish all relevant tasks inside of a single application.

The most important limitation of using a single system to manage video analytics and video recording is that it constrains optimizing your solution for video analytics. Indeed, most video recording solutions were not built to handle analytics and have bolted on simple to modest support for video analytics.

By contrast, IBM has built a separate management system for video analytics. The Smart Surveillance System is dedicated to manage video analytics and provides an optimized user interface for that purpose. The IBM system does not handle watching live video or other common video tasks. A video management system (such asGenetec or Milestone) is used for that purpose. When the IBM System's analytics find an event of interest, IBM requests video from the video management system for display.

This allows IBM to focus on optimizing video analytic management. The architecture they use is the same one used by dozens of the largest corporate web applications in the world. This is ideal for searching and analyzing millions of data points from huge amounts of cameras. Such ability is in stark contrast to today's leading IP video surveillance system which are designed for a different purpose - that of handling hundreds or thousands of video streams.

Get Video Surveillance News In Your Inbox
Get Video Surveillance News In Your Inbox

IBM's architecture provides unmatched flexibility and scalability to handle complex combinations of analytics across very large sets of cameras.

Demanding Video Analytic Problems

IBM's commitment to demanding and challenging video analytics seems to be stronger than any other provider in the marketplace. Part of this is due to the roots of IBM's video analytics solution. This product grew out of a long term research project within IBM called PeopleVision. This project experimented with numerous and esoteric analytics. As such, they have a deep pool of code and expertise to draw on for demanding video analytics. IBM's architecture reinforces and supports the use of demanding analytics. Because it is designed to deal with a variety of analytics from a variety of cameras in a flexible and scalable manner, it is easier for IBM to pursue such demanding analytics.

However, this differentiation is not simply because IBM is smarter. Many of the leading and most well known video analytic providers in the market have explicitly decided to limit the complexity and sophistication of analytics provided. Take ObjectVideo for example. ObjectVideo, by their own acknowledgment, is focused on making analytics easier to use, more widely available and cheaper to deploy. This pattern repeats itself with all the big video management vendors who are more concerned with making analytics work with their existing products than exploring uncharted territory.

For these reasons, I expect IBM to maintain a leadership position in testing, using and deploying novel analytics.

Reviewing the Competitive Landscape

To determine if IBM is the correct choice for your project, you need to evaluate what the alternatives and risks are. I see 3 major factors that need to be considered:

  • Simpler but less expensive mainstream video analytic solutions
  • Risks of complex IBM video analytics working poorly
  • Potential for basic mainstream video analytic solutions to improve

Simpler But Less Expensive Alternatives

Today, integrating video analytics and video management systems has become fairly common. It is not perfect nor is it limitless but almost all the leading DVR/NVR vendors have some form of third party support. Many video analytics providers have optimized their solutions to work in industry leading cameras. Some of the DVR/NVR providers have actually built analytics inside of their appliances. In either event, the cost and process to deliver a video analytic system is fairly low.

By contrast, IBM's solution requires a number of complexities:

  • Currently IBM's analytics require a dedicated appliance. You cannot run them on cameras today nor can you do so inside the DVR/NVR. Adding such appliance are generally far more expensive than the alternatives. If you have numerous sites (like a retailer), you could be adding in hundreds of these appliances. While IBM does not share prices publicly, this could easily add a few thousand dollars in cost per store/location. Even when IBM adds support for cameras, they may have issues performing the really sophisticated analytics they want to do inside a camera.
  • The IBM video analytic system requires the design, configuration and implementation of an enterprise management server. This will inevitably require expensive software licenses and on-site consultants. Compared to mainstream video analytics, solutions this will easily add $100k plus in costs. Now, for very large projects, this cost may be trivial but it is a barrier to entry to start a new system.
  • IBM's advanced search and analysis tools are not integrated into an NVR/DVR. It is likely that this will continue because of the customization and sophistication of the analytics that IBM wants to offer. The big practical factor is that it leaves users with two user interfaces which can increase complexity in the use and operation of systems. Users frequently prefer and often require a singular user interface or common operating picture.

While IBM offers a lot of potential beyond mainstream video analytics, genuine costs and trade offs do exist. You will need to determine that IBM's added abilities are more than enough to offset the cost and complexity that the solution adds.

Risks of Complex Analytics Not Working

Because numerous alternatives exist for video analytics and IBM's architecture is more expensive, IBM must differentiate itself by offering more powerful analytics that cannot be matched by competitors. I am not sure ultimately what those solutions are. IBM's publicly available information is shallow but from demos and industry articles, it appears solutions will including searching for similar license plates, objects, people, etc over large sets of cameras.

The challenge here is: How Well Can They Make it Work?

This is not a slight against IBM, this is a recognition of the complexity of the problem video analytics represent in today's world. Making video analytics work well in a variety of environmental conditions for a single camera is hard enough. Making it work well across numerous cameras and for more subtle characteristics is very challenging.

When you perform video analytics across large camera sets and large time frames, small errors can be enormously magnified. Often people like to talk about finding the little girl lost in the mall (see a video demo by another vendor of this). Because of differences in angles, lighting and the inherent imperfection of the analytic itself, such searches can return vast number of false matches and miss any number of correct matches.

I clearly do not know how well IBM can make their analytics work. I would not be surprised if IBM's engineers are still trying to figure this out themselves, not because they do not know what they are doing but because some of these aspects are research issues that have never been fully deployed in production. As such, customers should be very careful to understand the risks involved.

Potential for Mainstream Analytic Systems to Improve

The final factor that should be considered is that mainstream video analytic systems can move upwards over time. While there are certainly limitations and constrains in how well these systems can get, as analytics improve, they will certainly look to employ those improvements. This will continuously put pressure on IBM to push the limit of analytics to establish differentiation.

Unless you have extremely pressing security demands, you likely can upgrade and enhance your mainstream video management system over time. While I certainly think you will be sacrificing some benefits that IBM can offer, given the cost and complexity differential, this may be good enough for now.

Recommendations

IBM's offering is truly innovative and aims at solving crucial security problems at an unmatched level of sophistication. For this, IBM deserves respect and recognition. Nevertheless, I think customers will find it difficult to choose IBM as simpler, cheaper solutions will be attractive on the low end and the risk of analytic performance will constrain on the high end. For very large deployments with complex security needs, IBM should be seriously considered. In all cases, caution should be used in evaluating this choice.

1 report cite this report:

IBM: Still a Niche Player in Video Surveillance on Apr 25, 2010
More than 4 years after IBM's much ballyhooed entrance into the video surveillance, a recent report indicates that the company is no more than a...

Related Reports on Video Analytics

Avigilon Announces AI-Powered H5 Camera Development on Sep 19, 2018
Avigilon will be showcasing "next-generation AI" at next week's ASIS GSX. In an atypical move, the company is not actually releasing these...
VMS Export Shootout - Avigilon, Dahua, Exacq, Genetec, Hikvision, Milestone on Sep 13, 2018
When crimes, accidents or problems occur, exporting video from one's video surveillance system is critical to proving incidents. But who does it...
US DARPA Investing $2 Billion In AI on Sep 11, 2018
The US Defense Advanced Research Projects Agency (DARPA) is granting more than $2 Billion to companies developing new AI technologies. The money...
Luxriot VMS Profile on Aug 23, 2018
Luxriot is more popular than Hikvision and Milestone products according to ASMAG which was probably even surprising to Luxriot. The company has...
Video Analytics Integration Guide on Aug 16, 2018
Video analytics is hot again (at least conceptually) but integrating video analytics with VMSes can be challenging. This is especially significant...
ISS VMS / Video Analytics Company Profile on Aug 16, 2018
Who is ISS? In the past few months, they had one of the craziest ISC West promo items in years. Then, they hired industry veteran and ex-Dahua...
IP Camera Analytics Shootout - Avigilon, Axis, Bosch, Dahua, Hanwha, Hikvision, Uniview on Jul 30, 2018
Video analytics are hot again. But whose analytics really work? IPVM bought and tested Avigilon, Axis, Bosch, Dahua, Hanwha and Hikvision cameras,...
Eagle Eye Networks Cloud VMS Tested on Jul 26, 2018
Eagle Eye has become one of the most significant players in the industry in the past few years: Eagle Eye's Owner Acquired Brivo Eagle Eye...
Avigilon "Self-Learning" Analytics And VMD Tested on Jul 23, 2018
Avigilon is a popular choice for video analytics, offering "self-learning" analytics built into their cameras as well as appliances. We tested...
Directory of Video Surveillance Startups on Jul 18, 2018
This directory provides a list of video surveillance startups to help you see and research what companies are new or not yet broadly known entity...

Most Recent Industry Reports

Alexa Guard Expands Amazon's Security Offerings, Boosts ADT's Stock on Sep 21, 2018
Amazon is expanding their security offerings yet again, this time with Alexa Guard that delivers security audio analytics and a virtual "Fake...
UTC, Owner of Lenel, Acquires S2 on Sep 20, 2018
UTC now owns two of the biggest access control providers, one of integrator's most hated access control platforms, Lenel, and one of their...
BluePoint Aims To Bring Life-Safety Mind-Set To Police Pull Stations on Sep 20, 2018
Fire alarm pull stations are commonplace but police ones are not. A self-funded startup, BluePoint Alert Solutions is aiming to make police pull...
SIA Plays Dumb On OEMs And Hikua Ban on Sep 20, 2018
OEMs widely pretend to be 'manufacturers', deceiving their customers and putting them at risk for cybersecurity attacks and, soon, violation of US...
Axis Vs. Hikvision IR PTZ Shootout on Sep 20, 2018
Hikvision has their high-end dual-sensor DarkfighterX. Axis has their high-end concealed IR Q6125-LE. Which is better? We bought both and tested...
Avigilon Announces AI-Powered H5 Camera Development on Sep 19, 2018
Avigilon will be showcasing "next-generation AI" at next week's ASIS GSX. In an atypical move, the company is not actually releasing these...
Favorite Request-to-Exit (RTE) Manufacturers 2018 on Sep 19, 2018
Request To Exit devices like motion sensors and lock releasing push-buttons are a part of almost every access install, but who makes the equipment...
25% China Tariffs Finalized For 2019, 10% Start Now, Includes Select Video Surveillance on Sep 18, 2018
A surprise move: In July, when the most recent tariff round was first announced, the tariffs were only scheduled for 10%. However, now, the US...
Central Stations Face Off Against NFPA On Fire Monitoring on Sep 18, 2018
Central stations are facing off against the NFPA over what they call anti-competitive language in NFPA 72, the standard that covers fire alarms....
Hikvision USA Starts Layoffs on Sep 18, 2018
Hikvision USA has started layoffs, just weeks after the US government ban was passed into law. Inside this note, we examine: The important...

The world's leading video surveillance information source, IPVM provides the best reporting, testing and training for 10,000+ members globally. Dedicated to independent and objective information, we uniquely refuse any and all advertisements, sponsorship and consulting from manufacturers.

About | FAQ | Contact