Sensor Technologies & Data Fusion

LNL continues its research and development on new sensor node integration technologies.  Besides performing sensor design directly, we also design and develop sensor nodes consisting of several sensors that perform smart measurements.  The sensor nodes developed are used in application domains such as building automation, agricultural automation, environmental monitoring, structural monitoring, security and border security.

Real-time processing of data taken from different kinds of sensors and actuator control have crucial importance for our R&D team.

Excellent analysis and control applications are developed in our company via the artificial intelligence techniques integrated with data fusion.

Communication Infrastructure

LNL performs research and development on wired and wireless communication devices.  These devices are fully compatible with the sensor nodes and the data fusion software developed.

F-Series power-line modems are available for wired applications.

For the wireless applications, our research continues in the area of wireless radio and wireless optical communication devices.

Embedded Systems Development

LNL's embedded systems research continues both on software and hardware branches.  Our production pipeline and software development processes are fully customized for embedded systems development.

LNL is to announce its lightweight Linux operating system LX and a development kit LX-DevKit for LX customization for different architectures and requirements.

Another embedded systems experience we have is embedded graphics. We integrate our OpenGL ES based visualization module into the applications developed.

Signal Processing

LNL development team investigates high-performance mixed-signal algorithms for signal processing applications.  We provide FPGA solutions for Xilinx, Altera and Actel environments.

Intelligent Systems

LNL integrates all of its technologies described above to provide an intelligent control system.  All of the products rely on various intelligent agents according to the application type.  Our primary concerns in developing these systems are to reduce the investment and maintanence costs, provide energy-efficient systems and increase the customer comfort by performing smart actions through the intelligent agents.