Benefits of Video Analytics & How to Optimise Deployment
Many businesses rely on traditional CCTV systems for security, employing security personnel to monitor live feeds and video footage. However, the human factor introduces inherent vulnerabilities. Security personnel, despite their diligence, face challenges when monitoring multiple screens simultaneously. Furthermore, investigating specific incidents requires reviewing hours of footage, a time-consuming and often ineffective process that can hinder timely responses.
Video analytics emerges as a compelling alternative for your business security strategy, offering a more proactive approach to security. By integrating advanced AI and machine learning capabilities for early detection and alerts, video analytics cuts down on manual labour and significantly improves response times to threats.
What is Video Analytics?
Video analytics enhances security camera footage by automatically identifying and flagging potentially suspicious activities, such as unusual behaviours or an unauthorised presence. This smart technology acts as an added layer of security, on top of human monitoring, improving efficiency and reducing response times.
How Does Video Analytics Help Businesses Enhance Security?
- Real-time decision-making: With AI video analytics, you can instantly detect potential threats, such as unauthorised access attempts using personnel recognition software or suspicious behaviour using movement and loitering detection.
- Cut down manual labour: Video analytics automates many security monitoring tasks that previously required constant human vigilance. For example, facial recognition can replace manual identity checks, freeing up security personnel for higher-level, more strategic tasks that require human judgment.
- Reduce human error: Security personnel can experience fatigue after prolonged periods of monitoring, potentially compromising security. Video analytics can act as an extra layer of protection by screening for potential security breaches, items, or events that might be missed during manual monitoring.
- Remote access: Having remote access to live and recorded footage from anywhere with an internet connection helps to streamline security operations. This allows security teams to monitor multiple locations efficiently, ensuring a coordinated response to any detected incidents.
Pros & Cons of Video Analytics Implementation
Video Analytics can indeed enhance the security of any organisation. However, implementing the solution requires careful consideration of how to manage the compute resources required so as not to overburden IT infrastructure systems. We explore the options of using on-premise servers and cloud-based solutions.
1. On-Premise
On-premise means using data analytics software that runs directly on your own servers, so the data collected from your existing security cameras is analysed locally.
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2. Cloud
Cloud-based video analytics takes a different approach by sending your existing cameras’ data to a third-party provider’s cloud servers for analysis.
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A Business-Class Solution to Deploy Intelligent Video Analytics
Enter the solution that combines the best of both worlds of “on-premise” and “cloud”—SPTel’s edge cloud.
SPTel’s edge cloud for video analytics eliminates the need for companies to manage their own servers. By processing video data locally through a distributed network of secure edge computing hubs that are close to the data source, SPTel offers a secure solution for analysing security camera footage with improved latency without the burden of maintaining and managing hardware on site.
Here’s what you can expect from our edge cloud solution:
- High Performance: Benefit from <1ms ultra-low latency performance across our diverse fibre network and leverage 4 major edge cloud zones around the island for more responsive compute. This is made possible by our nationwide network of edge computing hubs that are housed within secure Critical Information Infrastructure (CII) locations. This approach reduces your IT footprint, improves performance, and minimises bandwidth requirements by placing compute closer to the data source.
- Scalability & Cost-Effectiveness: Our solution follows a pay-as-you-use model, so you can scale your resources up or down as needed, paying only for what you use. This eliminates the need for large upfront investments and allows you to optimise your costs based on actual usage.
- Data Sovereignty: SPTel’s edge cloud helps businesses keep control of their data by allowing you to store and process it locally, reducing reliance on third-party cloud providers. This helps meet data sovereignty regulations by keeping data within your own infrastructure or specific geographical regions, strengthening compliance efforts.
Real-World Applications of Video Analytics with SPTel’s Edge Cloud
AI video analytics enabled by SPTel’s edge cloud can transform diverse sectors in Singapore. Let’s explore 3 ways in which this new technology could possibly impact the real world.
1. Intelligent Maintenance
Singapore’s JTC Corporation leverages the power of AI and video analytics to elevate safety and efficiency within its industrial estates. By analysing video footage captured from smartphones mounted in inspection vehicles, the system can detect over 10 common estate defects, including broken manholes, damaged traffic signs, and slanted lamp posts.
Building on this foundation, imagine how SPTel’s edge cloud solution could further advance JTC’s operations. It could potentially expand AI-driven inspection capabilities by processing data at edge locations closer to industrial estates, providing real-time intelligence to respond swiftly to various maintenance issues. This could enable JTC to generate instant reports for facility managers, allowing for faster rectification of defects and ultimately enhancing the management of industrial estate infrastructure across the country.
2. Optimised Shopping Experience
For the retail sector, CapitaLand, a major Singaporean real estate company, has deployed AI-powered video analytics across six shopping malls in Singapore. The system analyses security camera footage to detect unusual events and enhance security measures. This pilot project showcases how AI video analytics can significantly improve mall security operations, allowing security staff to focus on critical decision-making rather than constant manual surveillance.
If corporations like CapitaLand seek to scale their video analytics capabilities to their properties islandwide, SPTel’s edge cloud, with its numerous distributed locations, can further advance these operations by providing the necessary processing power and low latency required for real-time insights and responsive security measures.
3. Proactive Healthcare
Singapore’s ageing population poses a potential strain on healthcare systems. Video analytics can make a difference by providing an extra layer of vigilance and support for our elderly. AI-powered systems can analyse video feeds to detect falls, monitor patient well-being, and alert staff to potential emergencies in real time. This proactive approach enables prompt intervention, enhancing patient safety and improving the overall quality of care.
To bring the benefits of video analytics healthcare to even more seniors, we can extend its reach beyond hospitals and into community facilities or even their homes. This ambitious goal requires large-scale deployment capabilities, which is where SPTel’s solution excels. With our Edge Cloud, we can potentially support a nationwide network of edge computing hubs provides the robust infrastructure needed to deliver this vital support to seniors across the country, while delivering responsive performance, transforming how we care for our ageing population.
Make An Easy Transition to Edge Cloud Video Analytics Today
For businesses with multiple locations, traditional video surveillance systems can become complex and costly to manage. We recommend switching to edge cloud based video analytics especially if you are a(n):
- Application solutions provider
- Security and surveillance provider
- Business that relies on big data and Internet of Things (IoT) devices
- End-user (e.g., car park management, shopping malls, supermarkets, banks, public transport, public safety etc.)
Get started with SPTel’s Edge Cloud, with flexible contract terms and no data transfer fees. This managed service is designed to simplify your transition to edge cloud video analytics. This means that we’ll handle the technical details of deployment, so you can focus on driving business outcomes. If you are interested to start a free trial with us, reach out to us here.
