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Archive for the ‘Trimble’ Category

Arcure Blaxtair: Transforming Industrial Safety with AI-Driven Pedestrian Detection

Friday, December 6th, 2024

Las Vegas, NV — At the 2024 Trimble Dimensions Conference, industry leaders gathered to showcase groundbreaking advancements in technology and safety. Among them, Franck Gayraud, CEO of Arcure, shared insights into his company’s mission to bring AI-driven pedestrian detection technology to the heavy machinery and industrial safety sectors. Arcure, a France-based company Gayraud co-founded 15 years ago, operates under the brand Blaxtair, a name now synonymous with collision prevention technology in high-risk work environments. This system has become a lifeline for operators of large vehicles, from construction and mining to logistics and warehousing, where the line between safety and hazard is often razor-thin.

The latest version of the Blaxtair sensor, embedding edge AI safety functionalities.

Sitting down with Gayraud, it quickly became evident that Blaxtair isn’t just about technology but also about fostering a safety-first culture in industries where even minor oversights can have catastrophic consequences. “We designed Blaxtair to be an intelligent ‘eye’ for operators, recognizing and reacting to the presence of pedestrians around industrial vehicles,” Gayraud explained. Blaxtair’s ability to detect humans in the vicinity of vehicles and then trigger either alerts or an automatic slowdown makes it an essential tool for workplaces navigating an increase in human-machine interaction.

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At Trimble Dimensions, AI Shifts from Hype to Practical Applications

Monday, November 18th, 2024

Las Vegas — Trimble Dimensions 2024, held in the buzzing halls of the Venetian Convention Center, was a showcase of transformative technology for the built environment. Amid the digital displays and technical presentations, I had the pleasure of meeting with Karoliina Torttila, Trimble’s Director of AI, for an in-depth conversation. Torttila is Trimble’s quiet powerhouse in harnessing artificial intelligence to meet the nuanced needs of architecture, engineering, and construction (AEC). Our discussion underscored the practicality driving Trimble’s AI initiatives, turning AI from an abstract idea into a tool that supports real-world challenges.

Karoliina Torttila

Torttila greeted me warmly, her passion evident as she described her work. “Our job,” she said, “is to adapt AI to make it genuinely useful for our industry.” In Torttila’s view, AI must address the unique challenges of AEC, where construction sites, structural materials, and surveying equipment require specialized knowledge that traditional AI models simply don’t have. “There are fantastic general AI models, but they aren’t designed to handle the complex, ever-changing environments of construction and surveying.”

One of the most significant hurdles Torttila faces is training AI to recognize the highly specific visuals and conditions on construction sites. While AI is adept at recognizing common objects in everyday settings, it falters when applied to niche environments like electrical substations or construction zones, where the visual data is dramatically different. Torttila explained how her team at Trimble refines these models to interpret everything from survey instruments to steel beams in real-world conditions, filling in gaps left by standard AI training sets. “We’re not building a ‘ChatGPT for construction,’” she laughed. “Instead, we’re refining existing models to make them reliable in our specialized settings.”

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