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LeddarVision: Highly accurate AI-based 3D environmental models

LeddarVision software platform combines AI and computer vision technologies as well as deep neural networks with computational efficiency to scale up the performance of ADAS/AD sensors and hardware that are essential for planning the driving path.

This story was produced through MarketScale. See how Building Management teams put it to work with Customer Stories & Case Studies.

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LeddarVision: Highly accurate AI-based 3D environmental models

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LeddarVision software platform combines AI and computer vision technologies as well as deep neural networks with computational efficiency to scale up the performance of ADAS/AD sensors and hardware that are essential for planning the driving path.

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Altronix's ReServ24B pairs dual 24VDC inputs with rapid battery charging

Altronix's ReServ24B pairs dual 24VDC inputs with rapid battery charging

Altronix's ReServ24B supports two 24VDC power supplies and switches the load to the other input without delay if one drops. When power returns, it uses excess power to rapidly recharge SLA, gel or LiFePO4 backup batteries. It connects to the LINQ2 module for remote monitoring, control and reporting.

  • 01When both 24V inputs are live, the ReServ24B feeds the load from whichever supply runs at the higher voltage, so the voltage setting decides which unit acts as primary.
  • 02A failover nobody sees is still a countdown: below 20V the battery-fed output shuts off and needs DC input power to restart.
  • 03Three supervision relays plus LINQ2 data on input status, battery status, output voltage and output current give a site a way to spot a failover well before the cutoff.

Oct 7, 2026

NHL says the business case starts at community rinks

NHL says the business case starts at community rinks

Honeywell’s Dani Stern described automation running a multi-use venue year-round; community rinks don’t change over.

  • 01The NHL says kids who play hockey between ages 5 and 8 are roughly 5 to 6 times more likely to become avid fans.

Oct 7, 2026

Cancelled-class scenario probes building AI orchestration

Cancelled-class scenario probes building AI orchestration

Rowden argues that AI orchestration can coordinate responses across building systems that often run in isolation. He frames the lecture-hall scenario as a practical way to test what a platform can actually orchestrate.

  • 01One occupancy reading in an empty lecture hall can reach cleaning crews, security patrols, parking and the energy forecast, so an orchestration platform likely needs sign-off from more than the facilities team.
  • 02Rowden says AI could rank alerts with predictions—like a 78% failure chance in 28 days—so planners can schedule work rather than wait for someone to spot a trend.
  • 03A key vendor question is which nine actions a platform can execute automatically and which it can only recommend without the right operational sign-off.

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