Skip to main content

Zooming in to the right Videology zoom block camera

Block cameras are a preferred choice for ITS system designers and engineers
January 22, 2024 Read time: 2 mins
Videology's low-latency block cameras reduce the delay between image capture and processing

The capability of optical zooming and autofocusing of block cameras play pivotal roles in intelligent transportation systems. Optical zooming allows block cameras to achieve a variable focal length, enabling them to capture clear and detailed images even from a distance. This is particularly important for monitoring highways, intersections and parking areas. 

Autofocusing complements optical zoom by automatically adjusting the focus based on changes in the scene or the movement of objects, ensuring that the camera maintains sharp and clear images without the need for manual intervention. This is especially beneficial in rapidly-changing scenarios, where quick and accurate adjustments are essential for real-time analysis. Together, optical zooming and autofocusing enhance the capabilities of block cameras in ITS, contributing to improved traffic management, incident detection and overall system reliability.

Another critical metric for ITS applications is the latency of the system. Namely, the time it takes to respond and process video data and provide information. The end-to-end system, starting from latency in the camera to the latency in the network and client side, must have low values. Most Videology block cameras have latency as low as 33ms, chosen frame rate and the complexity of the image processing features. These low-latency block cameras reduce the delay between image capture and processing, enabling quicker detection and analysis of events such as traffic congestion, accidents or violations.

With a wide range of options, such as various optical zoom factors, resolutions from 1080p to 4K, global shutter or output options, block cameras are a preferred choice for ITS system designers and engineers. This comparison chart will help you select the most suitable Videology Zoom Block for your specific imaging needs. As traffic and transportation applications continues to evolve and face new challenges, so will the Videology block cameras line up. With their durability, reliability and backwards compatibility, Videology block cameras will keep on serving as an integral component of the intelligent transportation systems.

Content produced in association with Videology

For more information on companies in this article

Related Content

  • Iteris’ ClearGuide answers USDoT call on traffic fatalities
    January 17, 2022
    Jeff Venables of Iteris explains the new approach ClearGuide Speeding Analytics takes to help US agencies realise their USDoT safety initiatives as road deaths soar
  • Long range radar aids wide area traffic monitoring
    March 16, 2012
    Applications of long range radar technology are demonstrating its effectiveness as a first line of defence for highway managers – adding greater resilience and capability to existing systems. Development efforts are bringing long range millimetric wave radar to the fore as a very useful tool for managers of highway networks. Application of radar for wide area monitoring in traffic management remains in its infancy. But recent projects are demonstrating how it can now serve to enhance detection of incidents
  • Hampshire Constabulary opts for Truvelo speed enforcement
    March 8, 2013
    The UK’s Hampshire Constabulary’s Safer Roads Unit has recently introduced new mobile speed enforcement technology to combat excessive speeds on the county’s roads. The LASERwitness Lite from Truvelo comprises laser speed measurement and digital video technology, combined with built in infra-red illumination for night time operation. The unit is extremely compact and can even be deployed from a police motorcycle if desired. This is beneficial in those locations where there is no suitable parking for a spe
  • Network video alternative to machine vision in urban applications
    January 11, 2013
    It would be easy to fall into the trap of seeing machine vision as the vision-based solution for ITS and traffic, however Patrik Anderson, Director Business Development Transportation of Axis Communications, notes that many of the applications which are coming to be associated with machine vision – and, indeed, many of the characteristics, such as at-the-edge analytics and image processing – are also possible with open-standard networked video. Networked video brings a whole host of advantages, such as the