Skip to main content

Jai camera for advanced ITS systems

Jai has introduced two new 2MP industrial-grade CCD cameras featuring full HDTV resolution (1,920x1,080P) at 64fps, making them ideal for advanced traffic imaging and vehicle recognition applications in traffic management and traffic enforcement. The new AM-201CL (monochrome) and AB-201CL (colour) cameras are the second set of cameras from Jai to feature highperformance quad-tap CCD sensors from Kodak. Like the previously introduced 8MP cameras, the new HD cameras utilise the high speed of the quad-tap arch
January 27, 2012 Read time: 2 mins
78 JAI has introduced two new 2MP industrial-grade CCD cameras featuring full HDTV resolution (1,920x1,080P) at 64fps, making them ideal for advanced traffic imaging and vehicle recognition applications in traffic management and traffic enforcement.

The new AM-201CL (monochrome) and AB-201CL (colour) cameras are the second set of cameras from Jai to feature highperformance quad-tap CCD sensors from Kodak. Like the previously introduced 8MP cameras, the new HD cameras utilise the high speed of the quad-tap architecture without compromising image quality thanks to an advanced automatic channel balancing algorithm that continuously adjusts gain and offset of the individual channels to provide seamless results that are claimed to surpass the typical one-time balancing methods of other multi-tap cameras.

Like Jai's other high-resolution cameras, which now number well over 20 models between 2- and 16MP, the new AM-201CL and AB- 201CL cameras, which support Cmount lenses, incorporate a list of industrial-grade features to maximise performance in traffic and machine vision environments. These include precise sensor alignment, advanced thermal management, a built-in temperature sensor, and rugged construction with extensive shock and vibration testing performed.

For more information on companies in this article

Related Content

  • ZF and NVIDIA announce AI system for autonomous driving
    January 5, 2017
    German auto supplier ZF is working with NVIDIA to develop artificial intelligence (AI) systems for the transportation industry, including automated and autonomous driving systems for passenger cars, commercial trucks, and industrial applications. Unveiled at CES 2017 in Las Vegas, the ZF ProAI for highway automated driving is ZF’s first system developed using NVIDIA AI technology. It aims to enable vehicles to better understand their environment by using deep learning to process sensor and camera data. I
  • Teledyne Dalsa’s Genie Nano cameras for transportation applications
    October 28, 2016
    Teledyne Dalsa’s Genie Nano series is engineered to meet the critical performance and environmental requirements of traffic and transportation applications. From VGA to 9M, 12M, 16M and now 25M, Genie Nano delivers high speed and exceptional image quality.
  • Simulating the effects of optimal mobility
    May 30, 2024
    Simulation-based optimisation is the foundation for real-time predictive analytics when it comes to optimal traffic signal programming, explain Sunny Chakravarty of Econolite and Lorenzo Meschini of PTV Group
  • Milesight unveils G2 series for traffic enforcement
    February 19, 2025
    Range includes mobile and enhanced ANPR technologies