Aug 9, 2017 9:35:00 AM
Aug 7, 2017 9:45:00 AM
The surveillance industry has started to update their storage technology to improve performance.
Here are two senarios:
1) During the nighttime, there has been a break-in at a company location and the perpetrator has been caught on tape. The recording is stored and reviewed at a later time, only to find that due to compression, the images of the perpetrator is obscured. And also, some frames have been dropped because of unstable data recording. This makes identification much harder.
2) During the nighttime, a person is picked up by the surveillance cameras. With fast-working data analytics, the system notices that there is someone in the restricted area and simultaneously notifies the appropriate personnel. The infiltrator is caught on the property, and the high quality of the recording helps correctly identify the person.
Which senario would you rather deal with?
The thing is that most surveillance systems use today hard disk drives (HDDs) for storage purposes. While this works perfectly well for basic setups, it can be a obstruction for implementing modern surveillance features.
The use of solid state drives (SSDs) for data recording is a solid step forward towards fixing this, as it gives the user access to data analytics that enables advanced features such as facial recognition and automated traffic control systems.
What is the reason HDDs are still so commonly used in surveillance? As technology advances, SSDs can now provide a cost-efficient alternative to many traditional surveillance setups.
Flash memory based solid state storage devices (SSD) are used in the applications mentioned above. EarthTron is a distributor of Micron Flash Memory and other electronic components. Click the button below to see our Micron Part Offers:
Another even more clear advantage for the SSD is speed, which has also been the main selling point ever since this form of storage entered the market. Modern surveillance setups don't just record and store data, but they are also seeing increasing requirements for data analytics. This means handling on-the-spot operations like facial recognition and then taking immediate action once a hit is made. The system is able to handle demanding simultaneous read and write operations, which HDD technology is poorly equipped to handle.
Capacity and price
But even with the two elements discussed above working in favor of the SSD, there are two projections where the HDD still stands strong: namely price and capacity. For those just looking for a simple and affordable system, an HDD-based solution can be a perfectly good fit.
This holds true for low-performance HDDs, but once you reach the 10K-15K RPM drives, it's a different story. These drives have platters that spin up to twice as fast as normal drives and have significantly increased performance. However, prices increase and capacities drop dramatically, even being surpassed by higher-end SSDs.
So, if your application needs to perform above that of a basic surveillance setup, the easier solution is to just opt for an SSD. By also calculating in a higher overall reliability, the total cost of ownership will be in favor of the SSD solution.
Another aspect to consider is the technology. Although referred to as drives, SSDs don't actually have any moving parts. This means that they are naturally more adept at taking a beating both in terms of shock and temperature; it also means less heat created during operation. By comparison, an HDD has a head that flies on a thin layer of air above the platter. Any strong enough vibration or shock will lead to a head crash and data being lost. For any recording performed onboard vehicles or in hostile environments, an SSD should be the primary choice for storage.
A combination of the two storage systems may offer the best solution, where HDDs handle data archiving while SSDs take care of any operations requiring high-speed or high-quality recordings for data-analytics. A solid state device might also be worth considering as an addition to already existing setups as it can drastically increase system performance.
Theres a price gap between the two solutions, SSDs are already more than qualified to enter the market. SSD technology has already done away with many of its earlier issues, it can now fulfill the stricter requirements of modern surveillance, and it will expand on what is possible with a well implemented surveillance system.
Jul 20, 2017 9:03:03 AM
Researchers at Carnegie Mellon University's Robotics Institute have enabled a computer to understand the body poses and movements of multiple people from video in real time, even down to the details of the pose of each individual's fingers.
This new method was developed with the help of the Panoptic Studio, a two-story dome embedded with 500 video cameras. The insights that were gained from experiments in that facility are now making it possible to detect the pose of a group of people using a single camera and a laptop computer.
This research opens up new ways for people and machines to interact with each other, and for people to use machines to better understand the world around them. The ability to recognize hand poses, for instance, will make it possible for people to interact with computers in new and more natural ways, such as communicating with computers simply by pointing at things.
Detecting the nuances of nonverbal communication between individuals will allow robots to serve in social spaces, which will allow robots to perceive what people around them are doing, what moods they are in and whether they can be interrupted.
Self-driving cars could get an early warning that a pedestrian is about to step into the street by monitoring body language. Enabling machines to understand human behavior also could enable new approaches to behavioral diagnosis and rehabilitation for conditions such as autism, dyslexia and depression.
In sports analytics, real-time pose detection will make it possible for computers not only to track the position of each player on the field of play, as is now the case, but to also know what players are doing with their arms, legs and heads at each point in time. The methods can be used for live events or applied to existing videos.
Jul 12, 2017 9:08:00 AM
As embedded intelligence is finding its way into ever more areas of our lives, fields ranging from autonomous driving to personalized medicine are generating huge amounts of data. But just as the flood of data is reaching massive proportions, the ability of computer chips to process it into useful information is stalling.
The Team: Researchers at Stanford University and MIT have built a new chip to overcome this hurdle. The team is made up of; Max Shulaker, an assistant professor of electrical engineering and computer science at MIT, H.S. Philip Wong, Subhasish Mitra, professors of electrical engineering and computer science at Stanford. The team also included professors Roger Howe and Krishna Saraswat, also from Stanford.
Computers today are comprised of different chips cobbled together. There is a chip for computing and a separate chip for data storage, and the connections between the two are limited. As applications analyze increasingly massive volumes of data, the limited rate at which data can be moved between different chips is creating a critical communication bottleneck. And with limited room on the board, there is not enough room to place them side-by-side. Even worse, the underlying devices; transistors made from silicon, are no longer improving at the historic rate that they have for decades.
The new prototype chip: is a radical change from today’s chips. It uses multiple nanotechnologies, together with a new computer architecture, to reverse both of these trends.
Instead of relying on silicon-based devices, the chip uses carbon nanotubes, which are sheets of 2-D graphene formed into nanocylinders, and resistive random-access memory (RRAM) cells, a type of nonvolatile memory that operates by changing the resistance of a solid dielectric material. The researchers integrated over 1 million RRAM cells and 2 million carbon nanotube field-effect transistors, making the most complex nanoelectronic system ever made with emerging nanotechnologies.
The RRAM and carbon nanotubes are built vertically over one another, making a new, dense 3-D computer architecture with interleaving layers of logic and memory. By inserting ultradense wires between these layers, this 3-D architecture promises to address the communication bottleneck.
3-D integration can address another key consideration in systems: the interconnects within and between chips. The new 3-D computer architecture provides dense and fine-grained integration of computating and data storage, drastically overcoming the bottleneck from moving data between chips. Because of that, the chip is able to store massive amounts of data and perform on-chip processing to transform a data deluge into useful information.
To demonstrate the potential of the technology: the researchers took advantage of the ability of carbon nanotubes to also act as sensors. On the top layer of the chip they placed over 1 million carbon nanotube-based sensors, which they used to detect and classify ambient gases.
Due to the layering of sensing, data storage, and computing, the chip was able to measure each of the sensors in parallel, and then write directly into its memory, generating huge bandwidth.
Three-dimensional integration: is the most promising approach to allow an increasing number of devices to be integrated per unit volume.
The team is working to improve the underlying nanotechnologies, while exploring the new 3-D computer architecture. The next step is working with Massachusetts-based semiconductors company Analog Devices to develop new versions of the system that take advantage of its ability to carry out sensing and data processing on the same chip.
For example, the devices could be used to detect signs of disease by sensing particular compounds in a patient’s breath. This has the potential to be the platform for many revolutionary applications in the future!
Jun 28, 2017 9:05:00 AM
We have come a long way since the first cell phone was created. As technology changes the way we live our day-to-day lives, it is interesting and fun to imagine what the future will bring. We may like to imagine one day living on Mars with technology that lets us teleport and live life like The Jetsons.
1. Experimentation with teleporting.
Recent research related to the Higgs Boson particle, will help forward actual experimentation with teleporting. The idea is that turning off the Higgs Boson particle could let you travel at the speed of light and essentially teleport. It will only be at the beginning of testing, but there is a good chance there will be significant investing in testing teleportation.
Jun 27, 2017 8:27:00 AM
Aug 19, 2016 9:00:00 AM
Aug 15, 2016 10:20:59 AM
Jan 12, 2016 11:30:26 AM
Researchers at the University of Michigan are using mice to determine how neural networks really work. Light-emitting diodes (LEDs) were implated into mice brains, allowing researchers to determine how stimuli to one neuron affects other neurons in the area. Each LED is less than a tenth of a millimeter wide and approximately the same size as a neuron.
Oct 12, 2015 10:33:00 AM
Dell to purchase EMC for $67 billion.
Today, Dell announced that it will purchase EMC for a sum of $67 billion. The EMC Board of Directors has already approved the merger. The deal is expected to close next year - as soon as the merger meets the approval of EMC shareholders and regulators.
The acquisition means that EMC shareholders will receive $33.15 per share, including cash and tracking stock which includes EMC's investments in the popular virtualization software maker, VMware. VMware has a current market value of $33 billion, meaning that EMC's value in the deal is about $27 billion.