Watch the demo of how Qamcom’s AI Platform is used in the context of Smart Cities.

We are looking for a kickass superstar to lead our world class remote team. Our full remote office, Qamcom Anywhere is ready for the next phase and we need a skilled Site Manager to enable fast and sustainable expansion. Qamcom Anywhere currently have five amazing employees and we have an aggressive growth plan the coming years. We intend to extend the unit by employing the best engineers and execute advanced technology projects together with world class clients.

Depending on where you live, fiber or high-speed internet is not to be taken for granted. At Qamcom we have helped our leading global client to develop a Mobile backhaul product with a multi-band boost capability providing capacity of over 10 gigabytes per second – as in really fast wireless internet.
With this solution in place, we can connect any area on a broad scale by enabling fast and reliable connection for more people – no matter where you live. In the city or on the countryside.

The Hexa-X project aims to connect the physical, digital and human worlds, firmly anchored in future wireless technology and architectural research. Wireless technologies are critical for society and the economy today and their importance will continue to steadily increase with 5G and its evolution, enabling new ecosystems and services. Qamcom’s research focus will be on localization and sensing, as well as network optimization.

Qamcom Anywhere is our answer to one of the biggest disruptions facing companies today: remote working. As a non-physical office all our employees work remotely – and only remotely. Which means that we are interested in you and your expertise, not where you live.

Farming is facing enormous challenges all over the world. For this reason, we decided to join the project AFarCloud, back in 2018. Our collective purpose was to increase efficiency and productivity, but also animal health and food quality through Industrial AI. Qamcom’s contribution to the project was to develop an advanced AI-based system capable of detecting free-roaming cattle in pictures captured by a drone and localizing it on a map.

The SKA project was initiated with the goal to unveil the secrets of the universe. The plan is to build the world’s largest radio telescope, with over one million square metres of collecting area with the purpose test theories by recording different sources of space. Qamcom’s focus will be to optimize signal processing by converting analogue signals into digital signals. This is done through the development of an adjusted digitizer.

Together with our client Mabtech, Qamcom has developed FluoroSpot and ELISpot readers that through analysis of proteins secretion by individual cells, can contribute to global vaccine development and basic immunological research for Malaria, Alzheimer’s, MS and Covid-19.

Higher frequency requires higher precision. Watch the movie about Qamcom’s Telecom offering. Includes everything from 6G research to 5G implementation and Product development for millimeter wave radios.

Play our game and get a glimpse of the Qamcom world – filled with tricky challenges, knowledge and technology. Can you find the true path and collect all items? Give it a go and see If you have what it takes.
https://www.qamcom.com/the-game/

A short film about the amazing possibilities with 4D Imaging Radar. The system offers advanced perception capabilities for various user fields and we will focus on customization for dynamic and static applications.

This project was a collaboration with the City of Stockholm and represents a successful example of public-private partnership aimed at driving change while addressing global challenges. The multifunction sensor developed by Qamcom helps the City of Stockholm in its strategy to become smart and connected.

You don’t need a combustion engine to ride in style. Meet RGNT no.1– the fully electric motorcycle with a classic café style racer look. Qamcom had the pleasure to be part of the development, integrating seamlessly with the RGNT engineers focusing on the touch-based HMI module.

we demonstrate the machine learning algorithms developed to reliably detect and accurately count the number of chosen animals in aerial images.

What makes us unique and what our employees appreciates the most with working here: Cool advanced technology projects, diversity, knowledge development and the non-hierarchical organisation to mention a few things.

We are Qamcom. A unity of technology experts and we believe in knowledge.

Is there a large and potentially dangerous gap between public perception of self-driving cars and the current state of autonomous driving?

This project was part of Vattenfall’s contribution to Vinnova’s “Drones of the future” programme. In this demo video we demonstrate the algorithms of powerline and high-risk-vegetation detection. The powerline detection problem is approached by using Qamcom’s deep learning neural network platform.

Qamcom has developed a visual neural network for people and vehicle detection. The algorithm is both detecting the object and segmenting the contour of the object and classifying between people and vehicle.

Qamcom has developed a visual neural network for vehicle detection. The algorithm is both detecting the object and segmenting the contour of the object.

We compare Qamcom’s vision neural networks for vehicle detection at a railway crossing against the reference neural network MASK-RCNN.

Qamcom Autonomous Drive, QAD, 4D Radar QR77SAW, Lidar, Camera, Sensor Fusion, Functional Safety, Neural networks, detection and classification, ground segmentation, target tracking.

Detections from the Qamcom 77 GHz radar (big dots in the lidar point cloud), QR77SAW, when tracking a human.

Tracking drones (UAV) with the 77 GHz radar, QR77SAW. Radar surveillance of civil, private or military property. Multiple UAV tracking capabilities, as well as detection of moving and stationary objects.

This video demonstrates the powerful capabilities of using deep learning algorithms to detect road-side traffic signs in video footage.

Qamcom 77 GHz radar, simultaniously keeping track of slow moving and stationary objects. Radar detects that one object spits into two objects, when the pedestrian leaves the bike in the safety zone.

Qamcom 77 GHz radar, tracking cars and pedestrians. Keeping track of both moving and stationary objects.

The seminar gives an overview of Free and Open Source Silicon (FOSSi) movement. Olof Kindgren, Director of FOSSi and Specialist at Qamcom Research and Technology, provides insights into the world of Open Source Silicon and what lies ahead in regards to challenges.

Zumbri provides a complete system for road sign detection and classification for traffic sign inventory. Qamcom has done the algorithm development for the detection and classification of the road signs.

Two persons are detected and tracked inside and outside of the detection zone. The demo visualises the algorithm handling detection and tracking of slow-moving targets.

Moving cars are detected and tracked inside and outside of the detection zone. Coloured dots show the detection of different objects where the colour indicates the strength of the detection.

A stationary object in the defined detection zone is tracked with Qamcom’s unique stationary target detection. A confirmed detection in the detection zone is marked with yellow/black dots.

Qamcom’s short range radar is a 77 GHz solid-state 4D radar providing instantaneous measurements on range, doppler (speed), azimuth and elevation angle. The radar can detect and track up to 50 objects simultaneously.

Qamcom 77 GHz 4D radar, Instantaneous measurements of target range, Doppler, azimuth and elevation, Unique Stationary Target Detection and Sophisticated multi channel processing.

Occupancy grid map for localization and mapping (SLAM) using the Qamcom 77 GHz Radar (QR77s).

High-end 77-GHz 4D radar system, Wide field-of-view, Unique algorithms to detect problematic slow-moving and stationary targets, Optional camera installation for reference and sensor fusion opportunities. Suitable for Autonomous Drive applications.