The demand for advanced perception systems is growing across various sectors, and sensor fusion has become essential for improving environmental awareness and decision-making. By integrating LiDAR and CMOS sensors, we achieve depth perception and terrain mapping, but effective fusion requires synchronized data processing and optimized algorithms.
This approach provides a modular and scalable solution for sensor data fusion and synchronization applications. It offers portable components suitable for various applications that require edge processing, such as Automotive (in ADAS), Robotics, and scenarios that depend on remote or cloud processing, including advanced content streaming, video monitoring, and control, as we l as precise environmental mapping.
An electronics goods warehouse with several forklifts in the operation of stock transportation. Managing and monitoring numerous forklifts in the large warehouses…
A mid-sized construction company utilizes a 250 KW generator set to power various operations including tower cranes, project offices, labour accommodation, lighting, and….
The client is a leading US-based computing solutions company providing solutions for SoC-based microcontrollers, catering to defense, automotive, and industrial applications. …
How can manufacturers transform fragmented operational data into real-time intelligence...
Industrial automation and digital manufacturing are evolving rapidly as Edge AI models are reducing…
