Sure, you want to lower the likelihood of theft, vandalism, and other crimes against your business.
Perimeter security solutions, such as on-premises surveillance cameras and video management systems (VMS), are expensive. Not to mention regular costly hardware upgrades and time-consuming server updates.
In this article, we will explain how cloud-based video analytics can help you save time and money while keeping your property, assets, and data safe.
Sirix has observed that cloud video analytics decreases false alarms by 97%, with hundreds of clients already benefiting from that security solution.
If you are looking for a cost-effective way to secure your business, you will appreciate the following 6 reasons why cloud-based video surveillance can save your company money.
Let’s get started.
What is cloud video analytics?
Cloud video analytics is the process of using cloud-based computing services to analyze video data collected by your on-premises surveillance cameras.
It is capable of tasks including object detection, facial recognition, and motion tracking.
Video data is typically saved in the cloud and treated using machine learning algorithms, allowing for real-time processing and scaling as needed.
The results of the analysis can be used for things like security monitoring, traffic control, and retail analytics.
Now, let’s look at how advanced video analytics in the cloud can save you time, money, and trouble when it comes to protecting the perimeter of your business.
Lower upfront and ongoing maintenance costs by eliminating the need for expensive hardware and infrastructure
No need to upgrade your devices and infrastructure
Cloud video ai analytics is compatible with your on-premises surveillance cameras and VMS, regardless of model or generation. Indeed, advanced analytics can be applied in real-time to the footage your cameras create as long as they can film.
No need for on site-labor
Since cloud video analytics uses the infrastructure you already have, you do not have to hire workers to put in new security equipment at your location.
Key Takeaway
Your business saves money because it does not have to buy or install any extra hardware.
Save time and money on software maintenance with automated worldwide updates
No server updates to install
Software and security updates are usually taken care of by cloud-based video analytics providers. This means that your IT staff will not have to manually update and maintain your systems.
Key Takeaway
The full analytics suite is rapidly updated on all your sites and in one transaction.
Benefit from advanced ai capabilities and lower the number of false alarms on your site
Live video monitoring AI options
Cloud-based video analytics providers often have access to more powerful algorithms and resources, which means they can give you more accurate and complete insights than on-premises solutions.
In other words, you get quick access to critical business data.
Here are a few examples of the tasks that can be done for your business:
- Intruder Detection
Detect unauthorized visitors and vehicles on your property.
- Crowd Detection
Identify the formation of large groups of people. You can set occupancy triggers based on a maximum threshold.
- Loitering Detection
Identify when a person dwells in camera view on your site.
- License Plate Recognition
Find targeted license plates through a vehicle database. You can set alarms for specific plate numbers.
- Gun Detection
Detect firearms that are visibly brandished in an instant.
Less false alarms
Video surveillance analytics in the cloud improve detection accuracy and reduce false events by over 97%.
It is very important to reduce the total number of false alarms. In fact, it makes things easier for the operators who work at the security operations center that your devices are connected to. Every event they receive is therefore more pertinent and can be dealt with quickly by following the SOP.
Also, some operation centers may also charge you if your site sends them too many false alarms.
Actuate is an example of AI video analytics software that uses the cloud to turn your existing security systems into more advanced ones.
Key Takeaway
Cloud video analytics can help your business become more efficient by giving you access to valuable, actionable information and reducing the number of false alarms.
Get the same level of service at no extra cost as your business grows
Meeting your evolving needs
Cloud video surveillance can be readily scaled up or down as needed, allowing for better resource utilization and cost savings.
Because it uses cloud computing, there is no limit to the amount of data that can be looked at. In other words, you can add as many cameras as you want to your site, and the footage will be analyzed in real-time without having to upgrade your security equipment.
In addition, cloud video storage can hold a lot of video data.
Key Takeaway
With video analytics in the cloud, your business can get the same service quality at no extra cost, no matter how big it gets or how its needs change.
Access real-time AI video analytics footage from anywhere with an Internet connection
Your site’s live surveillance video on your devices
As a business owner, you can watch live videos from your site on any device that can connect to the internet. You can see important data and live reports.
This allows you to perform remote monitoring and management from your phone, laptop, and so forth.
You can also give trusted employees access to cloud-based video for more protection.
Key Takeaway
Cloud-based CCTV surveillance allows you to monitor your operations, display triggered events, and access live data for an added degree of security.
Take advantage of increased data security with cloud video analytics
Top-tier data security for your company
Cloud providers have a lot of money to spend on data security and compliance.
This is good news for small and medium-sized business owners who may not have the funds to invest in the security of their on-premises data.
By using cloud video analytics, your business can take advantage of the time and money that cloud providers put into making sure data is safe.
You are then considerably less likely to fall victim to malicious hackers.
Key Takeaway
You can benefit from the utmost data protection through cloud video analytics without needing to spend any additional money.
You might also be interested in our blog posts How Much Remote Video Monitoring Services Cost in 2023? and Top 10 Live Video Monitoring Companies in Canada.
FAQs
What is video data analytics?
Video Data Analysis (VDA) is a collection of tools, techniques, and quality standards from different fields that are used to analyze the content of visuals in order to study the driving dynamics of real-world social behaviour and events. It usually uses visual data along with other kinds of data.
How much does VSaaS cost?
The cost of VSaaS (Video Surveillance as a Service) depends on many factors, including the number of cameras, storage requirements, features, and service provider. In general, VSaaS solutions can cost between $10 and $50 CAD per camera per month. This does not include the cost of installation or any additional services like video analytics, remote monitoring, or security system maintenance.
What is a cloud video intelligence API?
A cloud-based video analysis API is a service that allows developers to easily integrate video analysis capabilities into their applications. It enables developers to use machine learning and computer vision technologies to analyze and annotate videos stored in the cloud. It is capable of extracting metadata, detecting and tracking objects, recognizing faces, and identifying explicit content.
What can video analytics detect?
Video analytics can detect specific objects like humans and vehicles, as well as movement patterns like running and loitering, and other behaviours related to the monitored environment. In the case of a parking lot, for example, video analytics can be used to recognize licence plate numbers.
What are the different types of video analytics?
There are three common types of video analytics:
- Fixed algorithm analytics: This is a type of video analytics in which pre-programmed rules or algorithms are used to identify specific patterns or events in video footage. A fixed algorithm analytics system, for example, could be set up to detect when a person crosses a certain line or enters a restricted area.
- Artificial intelligence learning algorithms: Advanced machine learning algorithms are used in this type of video analytics to automatically identify and analyse patterns in video footage. The system can “learn” to recognize new patterns or events over time, as well as adapt to changing environments or conditions. In a crowded area, for example, an AI-based video analytics system may be able to detect the presence of specific objects or people.
- Facial recognition systems: This is a category of video analytics that specializes in recognizing and identifying human faces. Facial recognition systems analyze video footage and compare facial features to a database of known faces using sophisticated algorithms. This technology can be used to improve security by identifying potential suspects and tracking known criminals. However, there are concerns about the technology’s potential for misuse or abuse. The use of this technology, which is deemed to violate privacy, is prohibited or severely restricted in many states and countries.
Which type of big data is used in video analytics?
Video big data is the type of big data used in video analytics. Massive amounts of data generated by video cameras, including high-resolution images, audio recordings, and other metadata, are referred to as video big data. To extract valuable information and insights from this data, various techniques such as fixed algorithm analytics and artificial intelligence learning algorithms can be used.
Why use video analytics?
The primary goal of video analytics is to quickly alert security personnel of any unauthorized or unwanted activities captured by surveillance cameras so that they can react. This allows security personnel to deter crime, dispatch authorities quickly in the event of an accident, and respond appropriately to any other emergencies.
Which AI can analyse videos?
Artificial intelligence (AI) techniques for video analysis include object detection, activity recognition, semantic segmentation, anomaly detection, and facial recognition.
Amazon Rekognition, Google Cloud Video Intelligence, Video Indexer, Clarifai, Lumeo, and Eden AI are all examples of AI that can analyze videos on the market.
Companies that provide AI-based video analytics solutions include IBM Watson Video Analytics, NVIDIA DeepStream, Avigilon, and Verkada.
How is video analytics done?
By using advanced object detection algorithms such as Mask R-CNN, YOLOv3, YOLOR, and YOLOv7, as well as machine learning to monitor, analyze, and manage large volumes of video.
What is the difference between cloud and API?
The term “cloud” refers to a network of remote servers used for data storage, management, and processing. An API (Application Programming Interface) is a set of protocols and standards that allow different software applications to communicate with one another.
When you store your photos on Google Drive, for example, you are utilizing the cloud. The data is saved on remote servers, which you can access from any internet-connected device.
Your phone’s weather app uses an API to retrieve current weather data for your location and display it on the app.
Conclusion
Now, we want to hear what you have to say.
Having learned the main benefits of using cloud video analytics for your business, are you prepared to make the switch?
Are you already taking advantage of cloud-based video surveillance solutions and would like to tell us about them?
No matter what, feel free to leave your thoughts below.
