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.
interest in real time, and instantly alerts your
team—so you can act fast and stay in control.
Sirix’s AI scans live video feeds, detects objects of interest in real time, and instantly alerts your team—so you can act fast and stay in control.
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.
Sirix’s AI analyzes foot traffic using your existing
cameras—helping you improve customer experience,
optimize layout, and drive sales with data-backed decisions.
Sirix’s AI analyzes foot traffic using your existing cameras—helping you improve customer experience, optimize layout, and drive sales with data-backed decisions.
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. This compatibility applies regardless of the camera’s model or generation. Advanced analytics can be applied in real-time to the footage your cameras capture. As long as the cameras can film, the analytics can process the video data. This enables seamless integration of AI analytics with existing security setups.
No need for on site-labor:
Since cloud video analytics uses your existing infrastructure. There’s no need to hire workers for new equipment installation. This saves time and reduces deployment costs.
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. This allows them to process data more efficiently and accurately. They can deliver more complete insights compared to on-premises solutions. As a result, cloud-based analytics provide enhanced performance. They also offer greater scalability for growing needs.
In other words, you quickly access 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.
detects when someone tries to slip in behind—ensuring
only one person gets through per valid entry.
Protect your site from unauthorized access with AI that detects when someone tries to slip in behind—ensuring only one person gets through per valid entry.
- Crowd Detection:
Identify the formation of large groups of people. You can set occupancy triggers based on a maximum threshold.
usage to enhance security and
unlock smarter marketing
opportunities.
Track crowd movement and density in real time with
intelligent alerts—fully compatible with your
existing camera system, so there’s no need for
additional hardware.
Track crowd movement and density in real time with intelligent alerts—fully compatible with your existing camera system, so there’s no need for additional hardware.
- Loitering Detection:
Identify when a person dwells within the camera view on your site.
becomes a warning.
areas with real-time AI—using your existing
cameras, no extra gear needed.
Detect people or vehicles lingering in sensitive areas with real-time AI—using your existing cameras, no extra gear needed.
- License Plate Recognition:
Find targeted license plates through a vehicle database. You can set alarms for specific plate numbers.
Zero missed plates.
AI-powered accuracy—improving traffic monitoring,
access control, and parking enforcement using your
existing cameras.
Capture and verify license plates in real time with AI-powered accuracy—improving traffic monitoring, access control, and parking enforcement using your existing cameras.
- Gun Detection:
Detect firearms that are visibly brandished in an instant.
Prevented.
the moment a firearm is visible—triggering
instant alerts to help keep your space secure.
Gun threats are identified in real time by our AI the moment a firearm is visible—triggering instant alerts to help keep your space secure.
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. It makes things easier for operators at your security operations center. They can manage events more efficiently with your connected devices.
Every event they receive is more relevant and focused. This allows them to respond more efficiently and effectively. They can quickly follow the standard operating procedures (SOP) for each situation.
Some operation centers may charge you for excessive false alarms from your site.
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.
Cloud computing removes any limits on the amount of data that can be analyzed. You can add as many cameras as needed to your site. The footage will be processed in real-time. This happens without needing to upgrade your existing security equipment.
Cloud video storage can hold large amounts 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 enables remote monitoring and management from devices like your phone or laptop.
You can grant trusted employees access to cloud-based video for added security.
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.
Secure assets. Stop
security threats.
24/7 video surveillance detects and deters
unauthorized activity around and inside your building.
24/7 video surveillance detects and deters unauthorized activity around and inside your building.
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 set of tools, techniques, and quality standards. It comes from various fields and is used to analyze visual content. The goal is to study driving dynamics and real-world social behavior. VDA helps understand events captured in video footage. 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) varies based on several factors. These include the number of cameras and storage requirements. Additional features and the service provider impact pricing. VSaaS solutions generally cost between $10 and $50 CAD per camera per month.
Pricing varies based on specific service options and storage needs. Costs can increase with more advanced features or higher storage needs. 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, including humans and vehicles. It also recognizes various movement patterns such as running and loitering. This helps monitor and analyze behaviors in the environment effectively. The system analyzes behaviors related to the monitored environment. For example, it can identify license plate numbers in a parking lot. This technology enhances security by monitoring and analyzing activity in real time.
What are the different types of video analytics?
There are three common types of video analytics:
- Fixed algorithm analytics uses pre-programmed rules or algorithms to identify specific patterns or events in video footage. These systems analyze video data based on defined criteria. You can configure a fixed algorithm analytics system to detect particular actions. For example, it might identify when someone crosses a designated line. It can also alert security if a restricted area is entered. It can identify when a person crosses a designated line. Alerts are sent if someone enters a restricted area.
- Advanced machine learning algorithms use artificial intelligence to automatically identify patterns in video footage. They analyze these patterns to enhance video analytics. The system can learn to recognize new patterns or events over time. It adapts to changing environments and conditions.In a crowded area, AI-based video analytics can detect specific objects. It has the ability to identify particular people as well. This enhances security and monitoring effectiveness.
- 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. You can use this technology to improve security by identifying potential suspects. It also helps track known criminals effectively. However, concerns exist about the potential misuse or abuse of the technology. Many states and countries prohibit or severely restrict the use of this technology. They consider it a violation of privacy.
Which type of big data do video analytics use?
Video analytics uses video big data, which refers to the massive amounts of data generated by video cameras. This includes high-resolution images, audio recordings, and other metadata. Extracting valuable information requires advanced techniques. Fixed algorithm analytics help analyze specific patterns in the data. Artificial intelligence learning algorithms provide deeper insights and adaptability.
Why use video analytics?
The primary goal of video analytics is to quickly alert security personnel. It detects unauthorized or unwanted activities captured by surveillance cameras. This enables security teams to react promptly and effectively.
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 do you perform video analytics?
Developers use advanced object detection algorithms like Mask R-CNN, YOLOv3, YOLOR, and YOLOv7. These techniques, combined with machine learning, help monitor and analyze video data. They enable efficient management of large volumes of video footage.
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. It enables different software applications to communicate with each other. APIs allow systems to share data and functionality seamlessly.
Storing photos on Google Drive means you’re using cloud storage. It allows you to access your files from anywhere with an internet connection. You can save data on remote servers and access it 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 ready 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.
