Our technology solutions support the collection, standardisation and analysis of data that helps our clients to further understand behaviours and security risks.
Enabling operators to identify threats, locate high-value objects, respond immediately to security issues and distinguish between people, vehicles, items and wildlife.
With advanced AI capability, our inView CCTV technology can detect and distinguish between countless objects. This functionality is most commonly used for site monitoring, traffic control and movement tracking, raising alerts when any object outside the pre-programmed parameters is identified.
The instantaneous nature of object detection transforms the impact of CCTV surveillance solutions without relying on manual monitoring or with the issue of repeated false alarms, often related to zero-risk environmental factors.
The basics of object detection cameras are that they:
According to the programmed parameters, our object detection cameras can evaluate whom they need to alert.
They might be instructed to warn the emergency services in the event of a traffic accident, send a signal to fire services if there is smoke or flames, communicate with site managers, and transmit live footage of an emerging situation.
One of the most compelling benefits is that AI technology can be integrated within legacy hardware, or installed within existing networks, making it possible to implement highly advanced solutions cost-effectively.
The most suitable type of object detection camera depends on the purpose of the CCTV system and the primary threats it is designed to protect against.
There are three main computer vision tasks available:
Advanced AI CCTV systems combine all of these features and other high-level analysis tasks such as Facial Recognition Cameras, Stopped Vehicle Detection, and CCTV Analytics.
Object detection and deep learning CCTV classifications are used throughout highway management, site security, and high-risk zones.
Vision-based Traffic Monitoring cameras can count vehicle volumes, predict congestion, recognise breakdowns and raise the alarm when unexpected objects, such as debris, pose a collision risk.
Smart roadway cameras measure traffic density and anticipate peak periods by detecting vehicles, maintaining a log, and categorising by speed, size and type.
This type of detection is used in various industries outside of logistics and transportation, including:
Examples of object detection could include tracing visitor movements, tracking behaviours of individuals or vehicles, distinguishing between permitted and unauthorised activities, and signalling when an unexpected object requires investigation.
Commercial businesses can harness the power of object recognition to assess when inventory requires replenishment, detect suspicious objects, or alert staff if something has been left intentionally or otherwise (such as left luggage).
Users can programme object detection CCTV in numerous ways, instructing the AI to look for particular signals or items, implementing exceptions for ordinary objects, or setting varying response protocols depending on the information captured.
These cameras have extensive upgrades when compared to conventional surveillance cameras, including:
Traffic analysis is used for multiple purposes, from evaluating safe parking management strategies, automating site entry permissions and improving security systems with around the clock surveillance.
If you are interested in how object detection cameras could bolster your security or provide proactive safety control information, please get in touch with the Clearway team for more details.
Object detection is a computer vision function used in AI security or highways management systems, detecting instances of an object within a prescribed category – such as people, cars, buildings or animals.
Digital images are recorded when an object is found, developing a computational model used in multiple scenarios to prevent crime or improve safety.
Image processing cameras tend to be fairly autonomous but don’t have a data bank of references to incorporate into AI analysis.
Applications are restricted since less advanced cameras cannot operate in complex scenarios, pinpoint partially visible objects, or work correctly in poor light conditions.
AI object detection cameras are far more robust and used in even challenging visual situations or poor visibility areas.
An immediate application is in road safety – instantly recognising when a vehicle has broken down, been abandoned, or been involved in an incident.
The camera technology raises a rapid alarm, reducing the risk of further collisions, and is essential in smart motorways where stopped vehicles can cause danger to life.
We have also explored some of the many commercial uses, such as identifying visitor numbers, tracking customer movements around a store, determining the exact location of stocks, assets or vehicles, and monitoring evolving situations to decide whether they present a security issue.
Object detection cameras are commonly used in logistics planning, commercial site management, consumer marketing and high-value storage sites.