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Vivint Doorbell Camera Pro review: Sophisticated front-door security--for a price

PCWorld

The Vivint Doorbell Camera Pro isn't cheap at $249, but it's prettier and more sophisticated than the similarly priced Ring Video Doorbell Pro ($249) and the Nest Hello ($229). Vivint offers one of the best professionally installed and monitored smart home/home security solutions on the market, but you don't necessarily need to buy the entire system to deploy this doorbell. You will, however, want to sign up for the ostensibly optional cloud storage plan, which costs $4.99 per month. Without that plan, you only see a live view from the camera (Ring's doorbells and security cameras have the same limitation.) But Vivint will install this doorbell for you at no additional cost, even if your home doesn't already have the low-voltage wiring in place that it depends on for power.


SpotCam Eva 2 review: a much-improved security camera

PCWorld

The original SpotCam Eva, which we reviewed in 2016, was a pretty clunky camera, both in terms of its bulky design and its unpolished performance. It was apparent, however, that it contained the seeds of something better, and those have come to fruition in the SpotCam Eva 2. The rebooted camera has a "snowman" shape that's neither particularly attractive nor an eyesore, but it's smaller and easier to hide in plain sight than the original. It also has a wider field of view (130 degrees) and adds a built-in siren and two-way talk capabilities, Amazon Alexa and Google Home integration, and it supports automatic person tracking. Pan-and-tilt is still its core feature, but this feature works much better than it did in the previous iteration. The first evidence that the Eva 2 had improved on its predecessor surfaced during the setup process.


Council Post: How AI Is Making An Impact On The Surveillance World

#artificialintelligence

Steve is the Head of Data Science and AI at Australian Computer Society, a proactive social media contributor and LinkedIn influencer. The intelligent software paradigm is taking over surveillance due to the pervasive nature of self-learning capabilities emerging in the space. In a traditional sense, surveillance is following the movement of someone. Across the globe, governments have invested heavily in setting up a surveillance infrastructure. There are millions of cameras, but no one to monitor them 24/7.


Cloud and AI: The biggest trends in personal and SMB video surveillance

#artificialintelligence

The global pandemic has put a spotlight on personal safety and security, so it's unsurprising that the video surveillance market is surging as well. Globally, it hit $45.5 billion this year, while AI technology, which is being integrated into video surveillance products at every price point, will hit $100 billion by the year 2025. Both consumers and small- and medium-size businesses are increasingly looking for solutions to manage the safety and security of homes, businesses and assets. More importantly, they're in search of solutions that incorporate sophisticated new video analytics, AI and cloud-based storage technology. Manufacturers are racing to meet the demand, according to a report by IFSEC Global.


Amazon announces new employee tracking tech, and customers are lining up

Mashable

Amazon-powered employee tracking is coming to a warehouse, and possibly a store, near you. The ecommerce, logistics, and (among other things) cloud computing giant quietly previewed Tuesday new hardware and software development kits (SDK) which add machine learning and computer vision capabilities to companies' existing surveillance camera networks. And in what should come as no surprise as companies around the world ramp up employee monitoring, customers are already champing at the bit to sic Amazon's tech on their own workers. Amazon, of course, is notorious for monitoring its fulfillment center workers' movements in excruciating detail. From social-distance tracking systems to automatic tools that keep tabs on "the rates of each individual associate's productivity," Amazon has a well deserved reputation for invasiveness.


Artificial Intelligence Technology Solutions Receives Wally HSO Order From Top 20 Largest Medical Devices Company in the World

#artificialintelligence

Artificial Intelligence Technology Solutions, Inc. (OTCPK:AITX) today announced that its wholly-owned subsidiary Robotic Assistance Devices (RAD) has received an order from a global top 20 medical devices company with over 50,000 employees for what RAD expects as the first of several Wally HSO (Health Screening Option) units to be deployed at one of the client's manufacturing facilities. Wally HSO is a self-contained, artificial intelligence-driven security, concierge and health screening solution capable of performing touchless temperature assessments on personnel entering a facility. Wally HSO is also designed to detect and document those wearing, and not wearing a face mask as they enter a facility. If the user's temperature is outside of the acceptable range, Wally HSO will not allow entry, the incident is digitally documented, and the unit will provide further instructions either audibly or visually which may include summoning an on-site, or remote security guard. Wally HSO mounts easily on a wall in a lobby or a building entrance and does not require any networking resources or installation and instead connects to the cloud via an enhanced cellular connection or WiFi.


AI Is Transforming Ports to Their Smarter Versions in These 5 Ways!

#artificialintelligence

Ports are adapting AI technologies to create a smarter version of themselves! Ports are one of the busiest sectors in today's world. With the rise in the trade, ports are facing a lot of pressure. This includes the increase in the number of cargoes and vessels, the size of them and the data that comes along with it. Furthermore, there is no such thing as enough manpower. So, artificial intelligence implementation has reduced much of the workload.


Council Post: The Importance Of Security Architecture And Attack Surface Analysis

#artificialintelligence

Automation, cloud-based systems, internet-enabled devices, API-centric environments -- all of these things within software application development have paved the way for greater enterprise efficiency, productivity and innovation. But they have also opened up new avenues for cybercriminals to target private, sensitive information and compromise the systems that process it. Security pros and hackers tend to stay neck and neck in a race against each other. As new security innovations emerge, hackers crop up almost immediately, finding new ways to get around them. The only way for the good guys to pull ahead in the race is to shift their security and risk management approach from reactive to proactive.


Artificial Intelligence Technology Solutions Receives Wally HSO Order

#artificialintelligence

Artificial Intelligence Technology Solutions, Inc. announced that its wholly-owned subsidiary Robotic Assistance Devices (RAD) has received an order from a global top 20 medical devices company with over 50,000 employees for what RAD expects as the first of several Wally HSO (Health Screening Option) units to be deployed at one of the client's manufacturing facilities. Wally HSO is a self-contained, artificial intelligence-driven security, concierge and health screening solution capable of performing touchless temperature assessments on personnel entering a facility. Wally HSO is also designed to detect and document those wearing, and not wearing a face mask as they enter a facility. If the user's temperature is outside of the acceptable range, Wally HSO will not allow entry, the incident is digitally documented, and the unit will provide further instructions either audibly or visually which may include summoning an on-site, or remote security guard. Wally HSO mounts easily on a wall in a lobby or a building entrance and does not require any networking resources or installation and instead connects to the cloud via an enhanced cellular connection or WiFi.


Face recognition using PCA integrated with Delaunay triangulation

arXiv.org Artificial Intelligence

Face Recognition is most used for biometric user authentication that identifies a user based on his or her facial features. The system is in high demand, as it is used by many businesses and employed in many devices such as smartphones and surveillance cameras. However, one frequent problem that is still observed in this user-verification method is its accuracy rate. Numerous approaches and algorithms have been experimented to improve the stated flaw of the system. This research develops one such algorithm that utilizes a combination of two different approaches. Using the concepts from Linear Algebra and computational geometry, the research examines the integration of Principal Component Analysis with Delaunay Triangulation; the method triangulates a set of face landmark points and obtains eigenfaces of the provided images. It compares the algorithm with traditional PCA and discusses the inclusion of different face landmark points to deliver an effective recognition rate.