The BASTION project began on April 1, 2014, driven by a primary goal of researching and developing innovative applications for the broadcast market alongside security surveillance sectors. Both domains will leverage Internet Protocol (IP) networks to distribute video across multiple physical locations. This setup enables cameras at various sites while concentrating monitoring control in separate facilities, offering distinct advantages:

  • Efficiency Gains: Broadcast production efficiency is projected to increase by 2-3 times. By deploying camera personnel only at remote sites and centralizing the main production team at home studios, broadcasters can produce multiple programs within a single day.
  • Enhanced Surveillance Capabilities: Integrating high-quality, high-resolution image sensors into networked systems allows for advanced detection, recognition, and identification of security issues from long distances or large-scale events.

Project Background

BASTION stands as an acronym for Broadcast And Surveillance Technologies Over Networks. The initiative operates through a consortium comprising six companies (Adimec, Axon, Grass Valley, Caeleste, Altera, e2V) spread across four countries—Belgium, France, the Netherlands, and the United Kingdom—and includes one research institute (Armines) and one end user (Sagem).

Addressing Key Challenges

BASTION tackles several critical imaging challenges in security surveillance applications: low-quality outputs from affordable sensors combined with inadequate preprocessing before compression; high video signal latency that remains unpredictable; inconsistent network quality of service or unreliable IP-based data transmission; and fragmented interface standards for point-to-point connections.

Consortium Contributions

Adimec’s Role

Adimec brings advanced camera technology tailored for demanding security applications, ensuring superior image quality under challenging conditions including optimization across various wavelengths to eliminate current limitations. The company will also develop an image processing platform supporting multi-source inputs and executing sophisticated functions to maximize data extraction from captured images—a crucial development given the escalating need for high-quality compression alongside constrained bandwidth availability.

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Last Updated: 2025-09-04 20:03:57