Opsys Technologies Introduces ALTOS WAY LiDAR System for Wrong Way Detection
Opsys Technologies has introduced ALTOS WAY, a new intelligent transportation system designed to identify wrong way driving incidents using solid state LiDAR and embedded perception technology. The launch was announced in a press release.
ALTOS WAY operates as a roadside unit that continuously tracks vehicles in three dimensions, measuring position, velocity, and direction of travel. When a vehicle moves against traffic, the system generates an immediate alarm for integration with roadside warning systems and traffic management platforms.
The device performs detection and alert generation directly on the sensor, operating continuously and requiring only a single Power over Ethernet connection for both power and communication. Built on the Opsys ALTOS platform, the system combines LiDAR sensing, embedded computing, and perception software in one enclosure.
The solid state design eliminates moving parts, reducing maintenance needs and improving long term reliability. The unit meets NEMA TS2 and Build America, Buy America requirements and is available through Opsys and its distribution partner, Gades Sales Co., Inc.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Robotics Brief, Industrial AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Robotics
Sep 23 Robot.com and Grubhub Expand Robot Delivery to 10 Campuses Sep 23 Light Origins Launches Light-O1 Model for Robot Tasks Sep 23 XPRIZE Awards $4.55 Million for Wildfire Detection and Response Systems Sep 23 Healthcare Triangle Pursues Up to $30 Million Roboticom Asset Deal Sep 23 CRRC Unveils AI Metro Train and Hydrogen LocomotiveIndustrial AI Weekly
The latest advancements in smart manufacturing, predictive maintenance, AI-driven quality control, supply chain & more.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
YFORE Technology Debuts In Cabin Sensing System for Vehicle Safety
IDrive Launches Licenseable L2+ Driver Assistance Platform
ICP DAS to Show AI Traffic Control System at APTA 2026
OpenSpace Adds Indoor Positioning and Jobsite Reporting Tools
DXC Partners With LOXO on Autonomous Logistics Deployments
Daily AI Brief: the AI news that matters, in your inbox.