Technology evolution continues to bring us new innovations that can improve the way industrial environments operate. One exciting development receiving attention is AIoT, the Artificial Intelligence of Things. This combination of two powerful technologies, Artificial Intelligence (AI) and the Internet of Things (IoT), is creating smart devices and systems that work together and can make intelligent decisions.
Intelligent cameras, which are a part of AIoT (Artificial Intelligence of Things) technology, utilise AI to analyse data in real-time at the edge. These cameras serve as sensors and can not only intelligently detect objects, but process and interpret the detected objects, and then make decisions based on predefined rules, algorithms, or patterns. This advancement in remote monitoring is being labelled Camera-as-a-Sensor, or CaaS.
Intelligent cameras contain enhanced capabilities compared to regular cameras. Typically, they are equipped with built in processors, memory, and software algorithms that enable them to perform tasks beyond simple image capture. The built in processors and onboard computing power allows for two important functions: Computer Vision and Data Processing.
Computer Vision gives the camera the ability to interpret and understand visual data using algorithms and machine learning techniques.
Data Processing enables the camera to perform complex calculations to extract meaningful information from the captured visual data, and turn this into an action, such as raising an alarm, shutting down a process, or stopping someone not wearing the correct PPE from accessing a dangerous location.
When combined together it’s through this process that CaaS provides data insights beyond normal camera vision, enhancing safety, efficiency, and productivity.
The versatility and advanced capabilities of these cameras make them valuable tools in various industries and use cases. With certified applications designed for specific requirements, and applications bundles that contain multiple applications that can run in parallel, Camera-as-a-Sensor solutions can meet multiple requirements.
Using cameras as sensors offers significant advantages for Australian Critical Operational Environments, especially those managing remote and dispersed assets. Key benefits include;
Visual Inspection: High-quality images and video allow operators to visually inspect equipment, facilities, or infrastructure from anywhere. In environments with aging infrastructure, this helps identify damage, wear, or any unusual signs that need attention, and removes the need for unnecessary in-person technician visits. Continuous monitoring means you can move away from fix-as-fail to a more proactive and even predictive maintenance regimen, meaning less disruption and better productivity.
Alert Generation: Equipped with advanced algorithms, intelligent cameras can detect specific events or conditions. When triggers like movement in restricted areas or abnormal temperatures are detected, they send real-time alerts. This enables prompt action to address potential issues.
Data Analytics: Intelligent cameras collect visual data that can be analysed remotely. By using artificial intelligence and machine learning, the cameras can identify patterns, trends, and anomalies in the data. This analysis offers insights into asset performance, operational efficiency, and predictive maintenance needs, helping operators make informed decisions.
When evaluating camera-as-a-sensor solutions for industrial environments, there are several important factors to consider.