Client

Precise imaging & camera systems for smart home protection devices

Global Smart Device Company
Smart home security devices must operate reliably 24/7, in all lighting and weather conditions. High-quality imaging is essential for accurately identifying people, vehicles, and other key elements. Unikie’s dedicated team has been collaborating with a global manufacturer to advance imaging and camera system technologies, ensuring robust performance and precision in real-world environments.

Unikie has been engaged in active collaboration with a global manufacturer of home security and smart home devices to support their product and firmware development.

Since 2024, Unikie’s dedicated team of expert software engineers has worked closely as part of the company’s own development teams with a focus on imaging and camera system development for intelligent devices.

Developing imaging firmware for smart home protection devices

Developing features and fixing bugs for new products

Focus on imaging and camera system development

Focus on Image Quality and Firmware Development

Unikie’s team is focusing especially on image quality and firmware development. Image quality plays a critical role in the end-user experience of the customer’s products. It determines how effectively the device performs in various conditions, such as:

These conditions are especially important in security use cases, where the goal is to identify people, vehicles, license plates, and more. High image quality is essential for accurate and reliable identification.

Firmware & Algorithm Development

The development work includes two key areas:

Image Quality-Related Firmware

Algorithm development that directly impacts visual output (e.g., noise reduction, contrast, color accuracy).

Device Feature Firmware

Feature support such as image dewarping and other processing functions.

Importance in Battery-Powered Devices

In battery-powered devices, image quality needs to be established quickly because:

  • The camera remains powered off until it detects motion.
  • Upon motion detection, the camera powers on and begins image capture.
  • The speed of startup and 3A algorithms (Auto Exposure, Auto White Balance, Auto Focus) is crucial.


Particularly, auto exposure must adjust rapidly to ensure that people, cars, license plates, etc., can be recognized as soon as possible after activation.

Key Competences Used in the project

Embedded System Development

C/C++, Python, Linux, RTOS, Sensor/driver engineering

Imaging expertise & Algorithms

3A (Especially Auto Exposure), ALS (LUX estimation)

Image Signal Processor (ISP)

Feature enablement, Tuning

GStreamer development

Contact us about this case

More cases