The future of video analytics
Dirk Owerfeldt - VP Business Development -
A year ago, the video analytics issue has been only discussed between experts and the broad market was only aware of basic motion detection that has already been commodity in most IP cameras and DVRs. But markets proceed, and recently there has been some important developments going forward both on the technical side as well as on positioning that now allow a reliable prediction about future developments.
An inconvenient truth: False alarms do exist and will remain! 
I would like to start with one of the biggest taboos in the industry: No intruder detection or high end “lost objects”-detection, no algorithm nor any other solution will be 100% reliable. There will always be false alarms! Consequently, the biggest challenge is not to create a reliable alarm the biggest challenge in real life applications is to reduce false alarm rates and to handle those false alarms in a way that the whole solution is not rendered null and void.
Full Article click here>>> |
Bosch focuses on Intelligent Video Analysis software usability 
Quicker setup time and greater accuracy
- Two-minute calibration revolutionizes setup time for installers
- New vector-based motion algorithm improves performance in crowded scenes
- Built-in head detection focuses on people, reducing false alarms
Bosch Security Systems is introducing a major new release of its Intelligent Video Analysis (IVA) software with easier scene calibration and even more powerful forensic search capabilities.
IVA 4.0 focuses strongly on ease of setup, and reducing false alarms. With the new interactive setup tool it takes an average installer about two minutes to calibrate a camera. The tool also includes ‘accuracy feedback’, reporting how accurately the camera is calibrated. In addition, a new head detection filter detects human head and shoulder contours to reliably classify people in a scene and further reduce false alarms. IVA 4 .0 also comes bundled with a new vector-based direction-detection motion algorithm: IVA 4.0 Flow, providing in effect two powerful algorithms for intelligent video analysis.
To see the latest video presentation from BOSCH Security Systems Click Here
Full Article click here>>> |
New intelligence-gathering tool for retail environments.
AVD sensor measures store performance that allows retailers to identify opportunities and drive sales.
Alpha Vision Design a manufacturer of footfall technologies has introduced a cost effective visitor measurement sensor for the retail and service environments. This single video based sensor can automatically count the number of visitors entering or exiting a mall or a store.
The AVD sensor can operate stand alone or be networked together to produce a map of visitor numbers across a mall, or via the internet, a whole retail chain. This visitor count is invaluable to the retail operations manager whereby key performance indicators such as footfall, customer to sales ratios, marketing Cost per Thousand (CPM) and Shoppers per Square Foot (SSF) can be measured in real-time. Analysis of these metrics can yield significant savings to the retailer, however it is estimated that only 20% of retailers actively exploit people counting information.
Traditionally, this visitor traffic is measured with imprecise infrared beams or obtained manually which can lead to erroneous counts. As the area of retail business analytics matures and an increased return on investment is achieved. A greater emphasis will be placed on obtaining accurate visitor traffic from a high number of locations that represents the true movement of customer traffic.
Full Article click here>>> |
Cernium Intelligent Video Management 
Video surveillance is radically changing, as technology advances and larger camera counts increasingly expose the flaws in traditional systems. By now, everyone knows all too well that traditional video surveillance does little to improve security effectiveness and operations efficiency. In many cases, the video is not monitored and used only for forensic purposes. Even when monitored, human inefficiency and distraction prevents 24x7 analysis of all the video. In fact, studies from Sandia National Laboratory show that human guards can only effectively focus on even limited numbers of video feeds for as little as 15 minutes at a time. 
The recent destruction of the governor's mansion in San Antonio, Texas provides a sobering but realistic example of the failings of traditional video. A video surveillance system was in place, was being actively monitored and the arson incident was captured on video – but the guard was watching a different screen and missed the entire incident! The old approach to video surveillance is simply not an effective, stand-alone answer to real-time security.
Full Article click here>>> |
ioimage Launches its Latest Surveillance Camera with Built-In Self-Sustained Video Analytics 
New ioicam sc1dn offers high-performance video analytics in an entry level camera
ioimage, the pioneer of intelligent video appliances designed for simplicity, announced today the upcoming release of the ioicam sc1dn, a day/night IP camera with built-in, high performance video analytics. The newest addition to ioimage’s series of ioicam intelligent video cameras, the sc1dn will be available for shipping as of February 2010 and will retail in the US for $990.
The ioicam sc1dn’s affordable price and ease of use make it particularly practical for mid-sized entities such as remote monitoring, educational and logistics centers, and other commercial sites. Embedded with ioimage video analytics, which is time-tested and utilized by government and commercial organizations under harsh environmental conditions, the ioicam sc1dn also provides a suitable solution for high-end installations such as government institutions and homeland security.
Easily set up and operated via a standard web browser, the ioicam sc1dn can be configured and managed using ioimage command center software and also seamlessly integrates with leading NVR and management platforms. Exceptionally low noise levels and low light performance optimize the captured video signal and achieve maximum detection capabilities while maintaining an extremely low false alarm rate. Applications built in to the ioicam sc1dn include intrusion detection, tripwire, fence trespassing and camera tampering. The unit can also be easily configured to detect unattended baggage, object removal, loitering and stopped vehicles.
Full Article click here>>> |
VideoIQ Bringing Intelligence to every surveillance system
In the world of Video Analytics one company is unique in the way that it delivers solutions to installers. That company is VideoIQ Inc.
VideoIQ are the only manufacturer in the analytics market sector that produces a camera, DVR and analytics engine in one unit. This unique approach has a number of significant advantages for the installer and end user;
- Massive reduction in bandwidth burden
- Reduced installation costs
- Reduced storage cost
- Video recording is immune to network downtime
In addition to this unique approach to recording and transmission they are also the only video analytics company in the World to boast an analytics device that learns its own background and is self calibrating. The industry standard for calibrating a camera is 4-10 man hours and of course anytime the background in the field of view changes then normally an engineer would need to visit site to reprogramme the device. Because of the intelligence within the VideoIQ ICVR none of this is necessary.
Full Article click here>>>
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