Intelligent Camera Solutions

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Smart cameras integrate industrial communication protocols like Camera Link, GigE Vision, and USB to connect with other industrial components. This streamlined system reduces cost and power consumption.

License plate detection

License plate recognition is one of the most popular smart camera features. This technology uses computer vision to identify vehicles and read their plates. It can also be used to track vehicle movement and streamline investigation workflows. It is an ideal security solution for public and private parking lots or garages, as well as for access control.

LPR or ANPR technology works by looking for rectangular shapes, such as those found on vehicle license plates. The system filters out images containing grills, mirrors, headlights, bumpers, and stickers to make sure it is capturing only the vehicle’s plate. It also adjusts for angular skew and other distortions to ensure that the image is clear and legible.

Unlike traditional cameras that need a dedicated video server, smart cameras operate as servers on the network and are designed to be managed remotely. Their results are reported over Ethernet using standard industrial protocols. They are often more cost-effective and easier to install than specialized surveillance systems. Smart cameras are also suitable for industrial applications where they wireless nvr kit supplier replace human vision to reduce costs and improve product quality on tasks that are fast, precise or repetitive.

Full-time security guards aren’t always able to monitor an entire property in real time, so the addition of a cellular-connected smart camera can provide 24/7 coverage. When a wanted or suspicious vehicle is detected, the system can alert local law enforcement to initiate an investigation.

Real-time analytics

Whether it’s identifying when equipment is at risk of failure, triggering mobile advertising to shoppers as they enter stores or alerting police when an event takes place in public, real-time analytics is helping to shape a wide range of businesses and our everyday lives. Powered by smart AI technology, this kind of data analysis turns streaming sensor information into insights immediately after it’s collected. It can also predict that a shipment will be late, warn customers about out-of-stock products or detect credit card fraud while it’s still being processed.

Using smart camera solutions to perform real-time analytics brings the benefits of machine learning to the edge. For example, the rugged EMOS Ethernet camera from Stoneridge-Orlaco is designed for industrial vehicle applications and is equipped with low system latency for optimal performance. The camera can be integrated to any Ethernet network and offers a wide variety of image processing and sensor fusion options.

The camera is built with an FPGA to enable real-time input-sensor coordination and reduce system delay. This ensures that the camera captures the part in a repeatable position as soon as it receives a trigger signal from an external device. In addition, integrating the camera with an FPGA enables on-device machine learning and intelligent object detection. This helps to reduce power consumption and false alerts while extending battery life.

Traffic monitoring

Increasing smart city initiatives and the need for real-time traffic monitoring and management has fueled the growth of intelligent camera solutions. These advanced cameras incorporate features such as automatic number plate recognition (ANPR), facial detection and tracking, multi-object tracking and classification, and more. These features enable the cameras to analyze and interpret data in real-time, helping traffic managers optimize traffic flows and improve road safety.

Motion detection technology in smart camera systems is used to identify changes in pixel values or patterns within the field of view. This triggers the camera to capture images or start recording video, allowing the system to detect moving objects and follow them as they move through the camera’s field of view.

Smart camera solutions offer many advantages over traditional traffic sensors, including reduced infrastructure and maintenance costs. They can also provide valuable insights that are often missing from traditional sensor-based analytics platforms. Smart camera solutions can be connected to other traffic control or decision-making systems to create a comprehensive ITS solution that can deliver valuable insights at the edge and prevent incidents and congestions.

When deploying cameras for traffic applications, it’s important to consider the long-distance transmission of image and video data. This can be accomplished with MIPI or USB interfaces, which reliably transmit data up to 3 meters. For longer distances, GMSL or FPD links smart camera solutions can be used, but these require a serializer board on the camera and a deserializer on the host processor.

AIoT

With the integration of AI, smart cameras can become much more than simple recording devices. They can perform advanced analytics and even autonomously trigger actions based on the detected events. For example, a security camera with facial recognition technology can detect people entering an area and report this information to the operator. This can be used for crowd management during a concert or other event and improve the overall visitor experience.

Another example is a smart camera that uses video analytics to count the number of vehicles entering or exiting a parking lot. This can help companies optimize their storage space and improve customer service. The system can also help reduce expenses by identifying empty spaces that are not being utilized.

Unlike old CCTV, IoT-enabled smart camera systems can connect to the internet and transmit real-time video footage and data to a central server or cloud platform. They can also be remotely monitored and controlled from anywhere with an internet connection. In addition, IoT-enabled smart cameras can include motion detection sensors and two-way audio capabilities.

IoT-enabled smart cameras are a game-changing technology for a variety of applications. They can enable remote monitoring and control of vehicles, buildings, or industrial facilities. They can also be integrated with other IoT devices and systems, such as home security systems or automated access control systems. This allows for a comprehensive and interconnected security ecosystem. In addition, IoT-enabled cameras can use computer vision algorithms to analyze footage and identify suspicious activity or anomalies. This can help prevent security breaches and improve response times.