Flasheye
"Leading software for LIDAR data interpretation"
Swedish LiDAR software company based in Luleå providing sensor-agnostic 3D perception for perimeter security, mining, and industrial monitoring.
Flasheye AB is a Swedish technology company founded in 2019 and headquartered in Lulea, Sweden, at the Mobilaris Innovation Center on Sundsbacken 6. The company develops software for interpreting and exploiting 3D LiDAR point cloud data, enabling automated spatial awareness and monitoring across industrial, infrastructure, and security applications.
Flasheye core product is a sensor-agnostic LiDAR perception software platform that processes raw point cloud data from 3D sensors and converts it into actionable spatial intelligence. The platform is designed for plug-and-play deployment, enabling organizations to integrate LiDAR monitoring without requiring deep sensor expertise or large technical teams. Use cases include perimeter security monitoring, industrial safety zones, process monitoring, and real-time vehicle and personnel tracking in complex environments.
The company began commercializing its technology in 2022, with initial deployments in the mining sector, where extreme dust, darkness, and physical complexity make camera-based monitoring unreliable. LiDAR captures accurate 3D geometry regardless of lighting or particulate conditions, making it well-suited to such environments. Flasheye has since expanded into forestry, smart city infrastructure, traffic monitoring, and general industrial automation.
In 2024, Flasheye partnered with Israeli LiDAR sensor manufacturer Opsys to deliver integrated hardware-software solutions targeting volume industrial markets. The partnership combines Opsys solid-state LiDAR sensor hardware with Flasheye software interpretation layer, enabling end-to-end solutions for customers who previously had to integrate these components independently. Flasheye also began distribution through CADDEN in France, extending its geographic reach into continental Europe.
Flasheye was founded by Ulf Lindstrom, who serves as CEO. The founding team includes alumni of Lulea University of Technology. The company has grown to approximately ten employees and has been recognized by the university technology network as one of Sweden most innovative tech startups. Flasheye targets markets where raw 3D sensor data currently requires specialized personnel to interpret, positioning its software as a real-time analytics automation layer for LiDAR deployments at industrial scale.
Primary type & automation activities this supplier delivers:
Flasheye LiDAR Perception Platform
- Launch Year: 2022
Sensor-agnostic 3D LiDAR software that converts raw point cloud data into automated spatial monitoring for industry and security.
Contact Flasheye
WEBSITE
https://www.flasheye.se/PHONE
+46 920 30 30 0HEADQUARTERS
Sweden
Company Facts
Founded
2019
Primary Role
Software/Algorithm
Company Size
-
Primary Region
Europe
Annual Sales
-
Funding Stage
-
Funding Total
-
NVIDIA Launches Jetson Orin Nano 2, Enhancing Edge AI for Robotics with Improved Performance
NVIDIA Corp has unveiled the Jetson Orin Nano 2, an entry-level computer designed for edge AI applications. This new system offers doubled inference performance compared to its predecessor while consuming 40% less power in 15-watt mode. With 78 trillion operations per second of AI compute and 8GB of memory, it is tailored for real-time reasoning in smart drones, robots, and vision AI systems. The introduction of the Jetson Orin Nano 2 is significant as it allows developers to leverage advanced AI models that were previously limited to larger systems. According to Deepu Talla, NVIDIA's vice president of robotics and edge AI, the new model brings frontier-level accuracy to entry-level products, enhancing the capabilities of physical AI applications. This development is expected to accelerate the integration of AI into various autonomous devices. Looking ahead, NVIDIA's Jetson Orin Nano 2 is positioned as a key component in the company's comprehensive robotics strategy, which includes simulation and training solutions. The existing software stack is compatible with the new model, enabling developers to utilize large language models and vision language models optimized for edge inference. No further timeline was disclosed at the time of publication.
Artificial Intelligence Artificial Intelligence / Cognition Development Tools / SDKs / Libraries Microprocessors / SoC Microprocessors / SoCs News
Aetina Enhances Edge AI with Support for NVIDIA Jetson Orin Nano 2 Platform
Aetina Corporation has announced its support for the NVIDIA Jetson Orin Nano 2, enhancing its edge AI capabilities. This new platform allows for higher-performance generative AI and multimodal inference, which are crucial for compact Physical AI systems. The introduction of the Jetson Orin Nano 2 marks a significant advancement in entry-level edge AI robotics computers. It enables developers to create sophisticated applications such as delivery and inspection drones, robots, and vision AI systems that can perceive their environment and respond in real time. Looking ahead, the integration of the Jetson Orin Nano 2 into Aetina's offerings is expected to drive innovation in the edge AI sector. No further timeline was disclosed at the time of publication.
The Role of LiDAR in Enhancing Safety for DJI Drones
DJI has integrated LiDAR technology into its latest consumer drones, including the Air 3S, Mavic 4 Pro, Mini 5 Pro, and Neo 2, primarily to enhance flight safety. The Federal Communications Commission (FCC) has proposed new regulations that classify certain foreign-made drones with advanced technologies like LiDAR as 'military-grade,' raising concerns for DJI. LiDAR technology provides a significant advantage over traditional cameras, especially in low-light conditions. While cameras rely on ambient light to detect obstacles, LiDAR emits laser pulses to create a detailed map of the environment, allowing drones to navigate safely even at night. This capability is crucial for preventing crashes and ensuring safe returns during flights. As regulatory scrutiny increases, it will be important to monitor how these proposed rules impact DJI and its use of LiDAR technology. The focus on flight safety rather than military applications may shape future developments in drone technology and regulations. No further timeline was disclosed at the time of publication.
News
Tashan Technology Unveils Tactile Perception Loop for Enhanced Robotic Interaction Learning at WRC 2026
At the World Robotics Conference (WRC) 2026, tactile perception emerged as a focal point, highlighting its importance in robotic interaction. Tashan Technology showcased its tactile perception loop, addressing the limitations of visual imitation learning in complex industrial environments. The company aims to enhance robots' physical interaction capabilities by developing scalable tactile sensors that enable autonomous learning through real-time feedback. The significance of this development lies in its potential to overcome the challenges faced by robots in understanding physical interactions. Current reliance on visual data fails to capture the nuances of tactile feedback, leading to high failure rates in tasks involving unknown objects. Tashan Technology's approach seeks to fill this gap by providing robots with a tactile sensory system that allows them to independently comprehend and adapt to their physical surroundings. Looking ahead, Tashan Technology's advancements in tactile perception could revolutionize the robotics industry by enabling robots to perform tasks with greater accuracy and reliability. The company’s TS-F series sensors, capable of detecting various materials and providing high-resolution force feedback, represent a significant step towards achieving human-like tactile perception in robots. No further timeline was disclosed at the time of publication.
Tactile Perception Robotic Interaction Sensor Technology AI Robotics
IDS's Nion 3D ToF Camera Enters Series Production for Precision Applications
IDS has commenced series production of its Nion 3D Time-of-Flight (ToF) camera, which delivers high-resolution depth information at 30 frames per second. This capability remains stable even during rapid movements and varying lighting conditions. The introduction of the Nion 3D ToF camera is significant for sectors such as logistics, automation, and robotics, where accurate 3D data is essential for operational efficiency. The camera's performance ensures it can meet the demands of real-world processes, enhancing the functionality of automated systems. Looking ahead, the Nion 3D ToF camera's deployment in various applications will be closely monitored, particularly in environments requiring precise depth perception. No further timeline was disclosed at the time of publication.
Hanwei Technology Showcases Advanced Perception Solutions During 2026 World Robot Conference
During the 2026 World Robot Conference, Hanwei Technology Group Co., Ltd. showcased five types of embodied perception products, including tactile and olfactory sensors. The company also launched the HAU925, a nine-axis inertial sensor chip aimed at embodied intelligence, and demonstrated various advanced sensing technologies. Chairman Ren Hongjun discussed production rhythms and industry strategies, highlighting the growing importance of perception in robotics. The significance of these developments lies in Hanwei's focus on perception as a foundation for intelligent robotics. The company’s electronic skin technology, which has already reached over 30 clients, is poised to enter mass production, marking a critical point in its commercialization. Meanwhile, other sensory products are expected to scale up within two to three years, although significant profits may take longer to materialize. Looking ahead, Hanwei anticipates a shift in the robotics industry towards greater emphasis on embodied perception. However, challenges remain in integrating perception technologies into practical applications. The company aims to address these gaps by providing essential data collection infrastructure, including motion capture suits and data gloves, to support the industry's evolving needs.
Embodied Intelligence Sensor Technology Robotics AI Wearable Technology
Improving Agricultural UAV Safety with a Binocular Stereo Vision System for Cable Detection
A recent study published in the Journal of Field Robotics introduces a binocular stereo vision system designed to enhance the safety of agricultural UAVs by detecting overhead cables. This innovative technology aims to prevent accidents during UAV operations in farming environments, where the presence of cables poses significant risks. The development of this system is crucial as it addresses the growing need for safer UAV operations in agriculture, where the integration of drones is becoming increasingly common. By effectively detecting cables, the system can help reduce the likelihood of collisions, thereby protecting both the UAV and the surrounding infrastructure. Looking ahead, the adoption of this binocular stereo vision system could lead to broader applications in UAV safety across various industries. As UAV technology continues to evolve, monitoring advancements in safety systems will be essential for ensuring the reliability and effectiveness of drone operations in complex environments. No further timeline was disclosed at the time of publication.
RESEARCH ARTICLE
Honor Robot Sets Three Human Records Using Suoteng Lidar Technology
Recently, at the Second World Humanoid Robot Sports Competition, the Honor humanoid robot 'Lightning' broke three records using Suoteng's lidar technology. It completed the 1500 meters, 400 meters, and 100 meters events in 2 minutes 30 seconds, 39.45 seconds, and 9.32 seconds, respectively, surpassing human world records in all three categories. This achievement highlights the capabilities of the 'Lightning' robot, which demonstrates stable perception abilities across different athletic conditions. The Suoteng lidar plays a crucial role in the robot's environmental perception system, continuously gathering three-dimensional spatial information to support high-speed movement and stable operation. As the Honor robot sets these records, Suoteng's robotics business is also accelerating its scale. In the first quarter of 2026, the company sold 185,500 lidar units in the robotics sector, marking a 1458.8% year-on-year increase. The company has established itself as a leader in global 3D lidar shipments for robotics and is poised for further growth with the upcoming mass production of its self-developed SPAD-SoC chips.
Humanoid Robots Lidar Technology Robotics AI Sports Technology
WRC 2026: A Sensor's Two Decades of Support for China's Robotics Sector
The 2026 World Robot Conference (WRC) commenced on August 19 in Beijing, showcasing over 300 exhibitors and more than 2,000 exhibits. Key players like Zhejiang humanoid NAVIAI WA2 and others highlighted the importance of 'embodied intelligence' through measurable physical metrics. The event emphasized the need for advanced sensors, with Yuli Instruments' new C-series six-dimensional force sensors gaining attention for their role in robotics. Yuli Instruments has established itself as a leader in sensor technology, having achieved UL certification and collaborated with ABB for over 15 years. Their products, which include over 1,000 types of sensors, are designed to withstand the demanding conditions of industrial applications. The company’s commitment to a fully autonomous production system and international testing standards has garnered trust from global clients, making it a key player in the robotics supply chain. As the industry evolves, the focus is shifting towards force perception as a critical factor for operational success in robotics. The ability to maintain stability on uneven surfaces and perform delicate tasks without damaging components is becoming essential. The increasing reliance on Yuli Instruments' sensors within the ABB ecosystem indicates a growing recognition of their importance in achieving reliable robotic performance.
Robotics Sensor Technology Industrial Automation Humanoid Robots
Huaweike Unveils Advanced Tactile Sensors at WRC 2026 to Enhance Robotics
On August 19, 2026, the World Robot Conference opened in Beijing, where Wuhan Huaweike Intelligent Technology Co., Ltd. launched its Wanxiang series of tactile sensors. The event highlighted the industry's growing maturity in algorithms and visual perception, while the lack of tactile data remains a significant barrier to practical applications in robotics. The advancements in embodied intelligence over the past two years have been notable, with humanoid robots achieving over 20 degrees of freedom and costs reduced to under 100,000 yuan. However, challenges persist in fine manipulation tasks, particularly in the 'grasping' action, where robots often fail due to insufficient tactile feedback. Traditional sensors typically have an accuracy of 5% FS, which is inadequate for delicate operations. The Wanxiang series boasts an impressive accuracy of 1% FS and a minimum trigger force of 0.01N, setting a new standard for tactile data quality. This enhancement allows for the detection of minute weight changes, significantly improving the granularity of data collected. Huaweike's data collection gloves and simulation tools aim to address the efficiency of large-scale tactile data acquisition, reducing costs by 90% and increasing efficiency tenfold, which is crucial for training advanced robotic models.
Tactile Sensors Data Collection Robotics AI Industrial Automation
