NextPerception focused specifically on radar, lidar, and time-of-flight sensors with distributed intelligence; FITOPTIVIS addressed image-video processing in distributed systems.
CAMEA SPOL SRO
Czech SME specializing in perception sensors, edge AI, and safety verification for automated systems across transport and industrial applications.
Their core work
CAMEA is a Czech technology SME based in Brno that specializes in intelligent sensing, image and video processing, and embedded systems for industrial and transport applications. They develop perception sensor solutions combining radar, lidar, and camera technologies with edge computing and AI-based analysis. Their work spans from distributed computing optimization to safety verification of automated systems, making them a practical integration partner for projects that need real-world sensor fusion and intelligent monitoring capabilities.
What they specialise in
VALU3S was dedicated to V&V of automated systems' safety and security; MegaMaRt2 focused on runtime validation through model-based frameworks.
AIDOaRt applied AI to DevOps automation and continuous development; Arrowhead Tools addressed engineering of digitalisation solutions.
NextPerception, FITOPTIVIS, and Arrowhead Tools all involved distributed or edge computing architectures for real-time processing.
NextPerception explicitly included human monitoring and explainable AI as focus areas alongside perception sensors.
How they've shifted over time
CAMEA's early H2020 work (2017–2019) centered on image-video processing, distributed systems, and energy-performance optimization — essentially making heterogeneous computing systems work efficiently. From 2020 onward, their focus shifted decisively toward safety-critical automated systems, perception sensors (radar, lidar), edge AI, and DevOps/AIOps for continuous system validation. This evolution shows a clear trajectory from general-purpose embedded computing toward intelligent, safety-verified autonomous sensing systems.
CAMEA is moving toward trustworthy autonomous systems — combining perception sensors with safety verification and AI-augmented operations — positioning them well for automotive, smart infrastructure, and Industry 4.0 applications.
How they like to work
CAMEA operates exclusively as a participant, never as coordinator, which is typical for a specialized SME contributing focused technical capabilities to large consortia. With 213 unique partners across 19 countries in just 6 projects, they work in very large ECSEL/KDT-style consortia (often 30+ partners). This means they are well-networked but likely contribute specific components or work packages rather than driving overall project direction.
Despite only 6 projects, CAMEA has built a remarkably broad network of 213 partners across 19 countries, a direct result of participating in large ECSEL joint undertaking consortia. Their network spans most of the EU, giving them wide visibility in the European electronics and embedded systems community.
What sets them apart
CAMEA occupies a distinctive niche as an SME that bridges perception hardware (radar, lidar, cameras) with software intelligence (edge AI, explainable AI, DevOps automation). Unlike pure software companies or pure sensor manufacturers, they integrate across the full stack from sensor to validated system. For consortium builders, they offer practical implementation capability for intelligent sensing and monitoring in safety-critical environments — with a company small enough to be hands-on but experienced enough to have operated in 6 large European consortia.
Highlights from their portfolio
- NextPerceptionMost keyword-rich project combining radar, lidar, time-of-flight, edge computing, explainable AI, and human monitoring — represents the fullest expression of CAMEA's current capabilities.
- MegaMaRt2Largest single EC contribution (EUR 161,100) and earliest project, focused on scalable model-based validation frameworks at runtime.
- AIDOaRtMost recent project (2021–2024), signaling CAMEA's move into AI-augmented DevOps and continuous engineering — their likely future direction.