Yesterday we announced that the board of directors of Acconeer AB has resolved on and carried out a directed new share issue of 4,062,000 shares. The subscription price of the shares in the directed new share issue amounts to SEK 16 per share.
In order to examine the capabilities of the A1 radar sensor, Acconeer’s engineers experiment with use cases that test the limits of our technology.
See our CEO Lars Lindell comment on the Q1 result in an interview with Redeye analyst Viktor Westman.
IEEE has published a conference paper on surface classification using radar by Acconeer researchers David Montgomery, Gaston Holmén, Peter Almers and Andreas Jakobsson.
For Acconeer’s annual general meeting (AGM), which took place on April 14th 2020, Lars Lindell, CEO, and Mikael Egard, COO, recorded a presentation.
Magnus’ responsibilities include to plan and execute Acconeer’s end-to-end manufacturing and supply chain strategies. He is also responsible for the company’s quality assurance and sustainability programs.
Telchina uses the A1 radar sensor for water level measurement in manholes where it measures the level of city sewer. The water meter is a part of their Smart City solution for water infrastructure.
Earlier this week, we announced that we are developing the XM132 Entry Module. Launching in the second half of 2020, it will be based on an ARM Cortex M0 MCU, with power consumption and performance optimized for use in selected focus use cases.
Like most others, Acconeer is following the development of the corona-pandemic, both globally and locally. Naturally our thoughts first and foremost go to everyone directly affected by this virus.
Starting today, we will share a few projects and demos that Acconeer’s talented engineers have created through our brand new Innovation Lab.
Last week Acconeer’s year-end report for 2019 was released, and among the highlights is the fact that 430 evaluation kits were sold during Q4. This is more than four EVKs per day, well over the goal to sell three kits per day.
The high-resolution output from the Acconeer radar sensor is perfect for use with deep learning algorithms. Using the new Deep Learning Interface (DLI) in our Exploration Tool, you can record data and train your own Artificial Intelligence (AI) model without any need for programming.