Skip to main content

MATE Version 4.0

MATE-Intelligent Video has released Version 4.0 of its intelligent video analytics system and a new intelligent video encoder, TriggerNG (Next Generation), a transmission device with 4CIF/CIF resolution and MJPEG/MPEG4 video streaming.
February 3, 2012 Read time: 1 min
2243 MATE-Intelligent Video has released Version 4.0 of its intelligent video analytics system and a new intelligent video encoder, TriggerNG (Next Generation), a transmission device with 4CIF/CIF resolution and MJPEG/MPEG4 video streaming. It supports eight different video analytics detection features, object classification and an analogue output with video analytics overlay on the video.

In version 4.0, MATE unveils Rule Dependency, a feature allowing users to combine multiple detection rules in a logical way and custom naming of alarms to enhance end users' control. Additionally, MATE has increased its channel capacity, offering systems capable of analysing up to 12 analogue or IP channels on a single server.

Following its open architecture principle, MATE continues to support previously integrated platforms and adds new technology partners. Version 4.0 is fully integrated with American Dynamics VideoEdge, Hirsch Velocity, IQeye 753 series and DVTel 5.3.

For more information on companies in this article

Related Content

  • Huawei is accelerating intelligence
    April 9, 2025
    At MWC Barcelona 2025, Huawei released seven new smart transportation solutions and set out its philosophy for the use of AI to support safety and efficiency gains
  • Sprinx shows ‘super camera’ software
    March 29, 2022

     

    Italy-headquartered Sprinx Technologies, a specialist in designing and providing video analytic software platforms for traffic and transportation industry, is highlighting its latest innovation, the Sprinx Multi-Camera Tracking Module. This video-based software solution can identify and reconstruct the trajectory of all moving objects within the complex field of view of multiple cameras. The software allows merging and correlating information from a single view into a complete perspective, acting like a 'super camera’ to improve performance, safety, and efficiency.

  • New ANPR solutions overcome variables
    May 18, 2018
    The sheer range of variables makes it difficult to find a single algorithm to ensure a 100% standard of ANPR. David Crawford investigates new processing technology. Automatic number plate recognition (ANPR), using optical character recognition and image-processing to identify vehicles, plays key roles in traffic monitoring and law enforcement, access and parking control, electronic toll collection, vehicle security and crime deterrence. Overall, system performance is well rated, with high levels of
  • Lector Vision launches Cube camera and Traffic Guard
    March 20, 2018
    Lector Vision is here at Intertraffic to stage the world launch of two innovative new products – the Cube camera and Traffic Guard, a ground-breaking software analytics development that was funded by the Spanish government. The company’s Cube camera has a wide range of applications, including tolling control, car parking and traffic monitoring. It combines the advantages of machine vision cameras and IP cameras; has a top-performing Sony CMOS sensor; motorised lenses; RAW image processing; advanced on-boa