The security and the capability to detect unwanted activities or sabotage are highly prioritized and organizations with critical functions for society are urged to improve their security. At the same time as the requirements are clear, there is still a challenge to deliver trustworthy and intelligent solutions. Missed alarms and false alarms are well-known problems in smart video surveillance. A robust solution is often a combination of technologies and solutions and the cost increases drastically.
The automotive industry drives the development of lidar technology that aims to work as the vehicle's eyes, collecting all necessary information about the vehicle's environment despite high velocity and unexpected scenarios. The vehicle or machine must react to all types of scenarios - better than a human could. The 3D lidar technology is based on light pulses that are sent from the sensor, where all pulses represent distances which creates a real-time 3D model of the sensor's environment based on real measurements.
The technology has a long history and has been used in many other industries, e.g. scanning nature, robotics, defence, etc. Although the price of the hardware has dropped, the technology has been complex and more common in the context of research and special applications. The capacity of the sensors in range and resolution has developed impressively over the last few years thanks to the automotive industry. The data provide the full picture similar to how people experience the world!
The sensors that are mainly developed for the automotive industry are a robust alternative to surveillance and monitoring purposes when installed on roofs, walls, and pillars, similar to cameras. One sensor can monitor hundreds of meters in all directions and the hardware itself it not sensitive to light and weather conditions.
Everything that enters the scene will be hit by the light pulses and tracked in real time. Independent of light conditions, every object is classified and reported. The full picture of the environment allows us to make more advanced analytics based on scenarios and events, based on how everyone is moving and behaving.
Lidar monitoring is GDPR-friendly and can be used everywhere you want to improve safety and security, even in places where video surveillance is prohibited. It is a debated question how we could improve society's security and respect integrity issues. Lidar monitoring allows the detection of dangerous situations and potential sabotage while not recording or identifying individuals. Lidar surveillance makes it possible to monitor even outside your own facilities in the public space.
In addition to traditional monitoring to detect intrusions, sabotage, or unauthorized, the same solution can be used to report if people are in danger or there is a risk for injuries, e.g. people walking close to train tracks. In cities where it is a lot of mixed traffic, there are many situations where you can improve safety with real-time detection of danger and automatic actions. Other examples to improve safety for people are temporary construction sites in cities, ice and snow falling on the street, or dropped loads in dark tunnels that represent risks for road users.
The analysis is based on simple rules from objects' size, shape, velocity, and movements compared to the static scene since the high-quality data is from real measurements. This improves the trustworthiness of the alarms and mitigates false alarms. AI should only be used in certain parts of the analysis.