Robotics

Pre-Sales of Mojave Flash LiDAR available through Brevan Electronics

PreAct Technologies

Highest Performing Near-field, Software-definable Flash LiDAR Provides Affordable, Powerful Sensing Capabilities for Robotics, Agriculture, and Industrial Applications

PreAct Technologies (PreAct), an Oregon-based developer of near-field flash LiDAR technology, today announced that pre-sales of its Mojave LiDAR are open through Brevan Electronics, a leading distributor of high-technology electronic components. Mojave is a high-performance, low-cost sensor solution to address a variety of applications including smart cities, robotics, cargo monitoring, education & university research, building monitoring, patient monitoring, agriculture, and much more.

For over 40 years, Brevan Electronics has been an authorized distributor and trusted partner to OEMs and contract manufacturers worldwide. Their commitment to quality and access to global inventory establishes Brevan as a go-to supplier in the electronics industry for customers across a diverse range of industries.

Mojave is the only flash LiDAR designed to meet the stringent needs of sensors in robotics, agriculture and other industrial applications. Key features of Mojave include:

  • Depth accuracy error of less than 2%
  • Provides more than 1.4 million points per second of depth information
  • Has the ability to detect floor slope and camber
  • Superior cliff and edge detection over any other sensor on the market
  • Single unit retail cost of $350

Mojave comes fully calibrated from the factory and both the software and firmware are upgradable because of its software-definable capabilities, allowing companies to invest once in the hardware and continue to improve the sensor performance over time.

Mojave will also be available in October to companies, organizations and individuals looking to purchase single Mojave units or in volume through DigiKey and Amazon.

For Mojave LiDAR specs, or to place an order, visit https://www.preact-tech.com/mojave-sensor.

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