Smart Camera Solutions

Smart cameras combine machine learning, connectivity and storage into a single device. They are used in a wide range of applications including non-contact measurement, product and processing inspection, code reading, sorting, identification, robot input and automated surveillance.

Most smart camera systems include a processor that performs image processing and machine vision algorithms. They can then send the output as a pass/fail report, a digital signal to a PLC or an HMI.

Object Detection and Recognition

Object detection is an essential component of computer vision. The technology uses machine learning to locate instances of specific objects within images and videos. It is used in a wide variety of applications, from monitoring for people walking into dangerous areas to identifying tampered or stolen goods.

MV Sense utilizes state-of-the-art image recognition and object detection algorithms, such as the deep learning models YOLOv8, SSD, and RetinaNet, to create a powerful security solution that can reliably detect and identify objects and people. The technology is designed to run efficiently on resource-constrained devices such as cameras, making it an affordable and effective solution for both residential and commercial customers.

In retail, for example, it can be a challenge to monitor every person who enters a store. However, deploying CCTV systems that can detect the presence of certain objects—such as guns and knives—can reduce theft, increase safety, and improve overall customer experience.

Detection of objects in warehouses, manufacturing plants, and factories allows businesses to keep track of inventory and ensure product quality. Using computer vision, CV systems can constantly monitor workstations and production lines to alert employees when materials aren’t meeting QC standards. It can also track the movement of products through storage and distribution centers to improve efficiency. This data is useful for boosting productivity, improving the bottom line.

License Plate Detection

License plate recognition (also called automatic number plate reader) allows your video surveillance system to recognize vehicles with their license plates. The technology also helps you monitor traffic in areas such as roadways, parking lots and garages.

A camera equipped with license plate detection can be set up to capture an image of a vehicle’s registration or state-issued identification card whenever the camera is triggered to record or detect motion. The resulting images smart camera solutions can be used for surveillance purposes such as identifying suspicious activity, locating missing or stolen vehicles and verifying the identity of individuals entering and exiting a facility.

ANPR cameras can also be set up to record and store the text displayed on a vehicle’s license plate. This information can smart camera solutions be compared against databases of wanted persons, missing persons, fugitives, gang members and more.

While license plate reading technologies have become increasingly advanced in recent years, they are not without their limitations. They may struggle to read plates that are too far away or are blurry due to environmental factors such as fog, lighting, dust and reflections. Additionally, the varying size and fonts of license plates across different countries can make them challenging for some algorithms to identify.

Real-Time Event Triggering

A smart camera can detect and respond to human activity, such as a car entering a prohibited area or a person passing in front of an intersection. With this capability, your video surveillance system can be more responsive to your needs and protect your assets, whether in a warehouse, storefront, or office.

Using AI, VIVOTEK’s People detection feature is able to recognize the appearance of various human forms and quickly detect them. This enables the camera to be more responsive to real events and reduce false triggers caused by non-human activities such as swaying vegetation, vehicles driving by, or animal movements.

VIVOTEK’s cloud architecture collects objects and simple events detected in camera streams from multiple cameras that are directed at the same scene with different viewing angles and uses the cloud computing component to match these results. This decreases the chance of missing simple events and complex events.

VIVOTEK’s MV+AI solution monitors driver behavior and alerts you to dangerous driving habits such as cell phone use, seat belt noncompliance, eating, smoking or drinking. This allows fleet managers to take immediate action to improve safety and efficiency for their drivers. This feature can also help prevent accidents and traffic jams by identifying erratic drivers and monitoring vehicle speed. This can lead to better traffic control, dynamic adjustment of traffic lights and ultimately save lives in busy urban areas.

Motion Detection

Motion detection is one of the most basic and fundamental functions for any security camera system. It is used commonly in video doorbells to see who is at the doorstep, or in more advanced applications like triggering alarms and recording upon intrusion in offices and retail stores. With modern technology, this feature can also be incorporated with smart cameras to offer even more security features.

Depending on the camera hardware, there are different ways of detecting motion. Passive infrared sensors detect heat and will trigger when a warm object like a human or animal moves within its field of view. Ultrasonic and microwave sensors will use sound waves to detect moving objects by measuring reflections. Finally, video motion detectors will analyze consecutive images or frames to detect pixel changes that indicate motion.

The speed and size of the moving object will affect how quickly it is detected. Also, environmental factors like rain and fog might cause false alerts. To help reduce these issues, the camera’s sensitivity setting can be adjusted to filter out unimportant movements.

VIVOTEK’s Smart Motion Detection (SMD) is a robust solution that addresses these challenges with intelligent algorithms. By incorporating a pre-trained deep learning model, it automatically recognizes people activities and effectively reduces false alerts. This capability eliminates the need for complicated configuration and saves time spent verifying triggered events that are actually nothing to worry about.