The era of e- surveillance leveraging artificial intelligence is on a boom. With the advancement in technology and artificial intelligence bringing human intelligence to e-surveillance, it seems that AI-based cameras have new eyes.
We can now train and teach the e-surveillance systems to behave to situations like a human would and take necessary precautions and measures that optimize security and make it easier and effortless for enterprises.
Advancements in artificial intelligence with camera systems have accelerated over a short span of time because of the efficiency and analytics it provides.
Basis of comparison between AI-based CCTV warehouse cameras & Analog CCTV Cameras
● On-premise and cloud storage of data
The Traditional CCTV warehouse camera system only supports local storage. The video feed gets stored on physical storage devices in the local storage, such as hard disc drives, solid-state drives, or external storage devices. If these storage devices were lost or stolen, the data with all the video feed would get deleted, and the enterprise would not be able to retrieve it.
In the new era, Ai based cameras have built-in cloud storage capabilities to process and store data on the cloud. The video feeds are stored digitally on a virtual cloud server that spans multiple remote servers and locations. As a result, IP cameras can leverage the cloud to retrieve video feeds anytime, anywhere.
● Monitoring safety metrics and employee engagement
Traditional CCTV warehouse cameras capture real-time footage at low latency and store the same in local storage. Advanced artificial intelligence has made it possible for them to monitor and analyze various parameters with the help of smart sensors connected to the cameras.
Smart sensors such as smoke sensors, LHT (Light, Humidity, Temperature) sensors, glass break sensors, door sensors, thermal sensors, motion sensors, pressure sensors are used to collect data and monitor the environment. With the help of artificial intelligence, these sensors analyze the data for taking necessary actions for employees safety.
With the help of artificial intelligence and machine learning, the AI based Cloud cameras help monitor employee engagement, and the heads can get valuable insights and take necessary action. This helps in improving the overall productivity of the enterprise.
● Temperature, humidity & air quality control
Traditional CCTV warehouse systems lacked the capability to connect with sensors due to which they could not collect essential data. AI-based cameras have the capability to connect with smart sensors and provide an overall surveillance solution.
These Smart Sensors are directly connected to the camera systems, collecting and then processing data for the artificial intelligence to analyze it. In addition, various sensors can measure the temperature, humidity, and air quality of the environment. These metrics are essential for both assets and employees.
● Centralization of data for ease of retrieval and evaluation
Centralizing data is essential to take the necessary steps when a hazard point is identified and evaluated. The IP camera system provides a dashboard to view the footage and analytics. The dashboard can be accessed from web browsers and an app. The digital interface allows users to access the platform directly from their smart mobile devices, via applications or web browsers, in the presence of a secure network connection.
Cloud storage camera system also provides the file-sharing and download features, where the enterprise can retrieve data from virtually anywhere. This helps you to share your video feeds
with other users or view them multiple times through a centralized dashboard.
In the traditional CCTV warehouse camera system, footage could be retrieved within the enterprise where the cameras system were physically present. There was a need for in-house security personnel to be present and monitor the footage to identify any vulnerable points.
● Real-time notifications & alerts
One of the main benefits of artificial intelligence integrated with E-surveillance is real-time alerts. These alerts are sent instantly as app notifications, text messages, or emails when a hazard or accident is captured and identified by intelligent sensors and IP cameras. These alerts can not only avert a theft or pilferage but also help minimize the after-effects of an accident.
In traditional warehouse CCTV cameras, security personnel had to monitor and look out for hazard points manually. These vulnerable points were challenging to locate manually and could affect the surveillance of the premises. However, artificial intelligence has now made their jobs easier and much more effective.
● Smart analytics & insights
Modern AI-based camera systems can provide various analytical solutions that traditional CCTV cameras are not capable of. It allows enterprises to create insights into the data received from the smart sensors connected to the cameras. Along with the analyses or recorded data, it also provides the feature to have predictive analytics. These insights are created by breaking down the historical data stored on cloud and deducing various patterns of consumption & behavior.
These analytical capabilities of the platform can help improve and predict the possible problems faced in the future. After the data is analysed, insights can be gained from the analysed data and shown on the user’s dashboard to take steps for the same.
Some valuable insights that their cameras provide are footfall counting. The camera and the sensor monitor the people entering and exiting the warehouse and then deduce insights for scheduled time slots. This can give you insights into who comes to work on time, keep a check on the opening & closing time, and do much more.
Another valuable insight is Energy management. The solution notifies employers of the high energy waste points by analyzing the data recorded by energy meters.
● Inventory management
In traditional CCTV warehouse camera systems, asset tracking and inventory management in retail supply chain depended on these old-school methods like Manual Systems. These methods are the reason behind many prevailing problems, which augment as the size of the inventory increases, and have become obsolete.
AI-based camera systems are used in warehouses for inventory management. Inventory tracking also provides a company with data on how much inventory it owns, where its stocks are stored, and logs of inbound & outbound goods. Modern asset tracking requires the employment of the latest technology RFID based scanning. Inventory management with AI helps in reducing operational costs, prevents overstocking and understocking and improves inventory accuracy significantly.
● Hardware complications and expenditure
Traditional CCTV cameras are tedious to set up and configure as they have long ethernet wires running along to connect them to the internet. On the other hand, modern age cameras are easy to set up and configure.
Easy setup and Configuration management is essential to keep accurate configuration records and to help organizations avoid potential challenges or problems within their connections. Enterprises should have a precise picture of their device connections.
Conclusion
The new era of modern AI-based cameras offers the possibility of almost unlimited coverage and control compared to traditional CCTV warehouse cameras. In addition, these provide quick and less disruptive installations, video analytics, app-based accessibility, instant alerts, and many more features that the traditional cameras failed to deliver.
