Custom Sensor Solution Design

We can help your company take advantage of the sensor technology and develop a device — the core part of your solution — leveraging the possibilities of these types of sensors:

• Accelerometers
• Gyroscopes
• Humidity Sensors
• Temperature Sensors
• Capacitive Touch Sensors
• IMUs
• Microphone
• Optical Sensors (UV, IR, etc)

• MEMS Sensors
• System-in-Package (SiP) Sensor Modules
• Proximity Detectors
• Digital Compasses
• Electromagnetic Field Sensors
• Liquid Level Indicators
• Pressure Sensors
• Imaging Sensors

Although, these days the majority of sensor ICs come pre-calibrated for a digital output, to get more flexibility in optimizing incoming signals, perform more complex measurements and manipulate high-speed sensor data, it may be reasonable to give preference to an analog sensor. It is especially true for projects in the industrial automation, avionics, and automotive fields. Armed with about two decades of experience in electronics engineering, we can help you put together and configure sensor components that manipulate analog signals, interfacing sensors with microprocessors and MCUs, and enabling further data processing in a digital form. This includes:

SIGNAL CONDITIONING CIRCUIT AND ANALOG FRONT ENDS

Calibration of sensor signals to reduce noise, reinforce signal strength, and eliminate signal perturbations (amplification, filtering, and isolation) before they can be manipulated further.

ANALOG-TO-DIGITAL CONVERTERS (ADC)

Transforming a previously conditioned analog signal input into a digital output, which then goes to the logic part of a device for computation.

SENSOR INTERFACES

Serial or parallel communication buses (UART, SPI, I2C) to connect ADCs to microprocessors, MCUs, DSPs, where calculations with converted digital signals are performed.

After raw signals are conditioned and converted into a digital form, they undergo further processing to deliver obtained sensor measurements to user devices, store them locally or in the cloud, or convert certain values into output control signals. Depending on the complexity of your solution and your goals, Softeq will lend you our professional assistance at the embedded processing level.

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  SENSOR FUSION ALGORITHMS

  For gesture recognition, augmented reality, robotics, and drone systems, when outputs from multiple sensors are merged to perform sophisticated motion tracking and other complex tasks.

   

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  MCU & MICROPROCESSORS

  For performing calculations in standard-type embedded systems with a dedicated function or for processing sensor signals in embedded applications with no performance-critical role.

   

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  DSP

  For more complex — usually video, audio and image processing — compute-intensive real-time operations (using dedicated DSPs, DSP-optimized instruction sets on general-purpose processors, or FPGAs with DSP functions).

   

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  GPU

  Relying on world-class technologies for GPU-accelerated computing (CUDA, OpenCL, Jetson TX1, etc), when dealing with a large amount of data (computer vision, on-the-fly sensing in UAV systems, advanced solutions employing parallel computing).