A camera module based on the Sony IMX519 sensor, offering high-quality image and video at up to 16 MPx resolution. With a wide-angle M12 lens (122° FOV) and manual focus, it\'s ideal for projects like drones, robotics, surveillance, and Raspberry Pi-based vision systems. The camera supports 1080p@30fps and 720p@60fps recording, making it a great solution for real-time image transmission and analysis. ArduCAM B0449

Advanced solution for efficient thermal management and airflow optimization in Compute Blade system, enabling easy cluster scalability in limited space. With a flexible chassis that accommodates up to 4 Compute Blades and 2 fan units, BladeRunner provides high compute density, reliability and ease of integration in large installations without the need for complex cooling and power systems. Uptime Industries BladeRunner-4

Under ambient conditions of 25℃, the ED-Pi5Case-BS can reduce the temperature of the Raspberry Pi 5 by approximately 25℃. This allows the Raspberry Pi 5 processor to operate continuously at its maximum frequency of 2400 MHz

reComputer R1113-10 is an IoT gateway and industrial controller based on Raspberry Pi CM4 with 2 GB RAM and 8 GB eMMC, equipped with RS485, RS232, DI, DO, and Ethernet interfaces with PoE support. It supports wireless communication and edge AI, making it suitable for automation, smart city, and monitoring systems.

The GPIO Expander HAT for Raspberry Pi is a versatile solution that allows multiple modules to be connected simultaneously to the same GPIO lines. With clear labeling and compatibility with popular Raspberry Pi models, the HAT is suitable for educational projects, electronic circuit prototyping, and complex system integration. It is ideal wherever there is a need to duplicate pinouts without limiting access to the Raspberry Pi’s ports.

The IMX219-77 camera module with a 77.6° field of view extends the capabilities of the Raspberry Pi Camera V2, offering a wider field of view and high 8 MP image quality. Designed for educational, hobby, and analytical projects based on the Raspberry Pi platform.

Cooling module designed to provide efficient cooling for the Uptime Industries Compute Blade platform, especially in the case of heavy workloads and 24/7 operation. Thanks to the advanced cooling system, RP2040 microcontroller and temperature sensors, the device guarantees stable operation and eliminates the risk of overheating, and also allows for flexible adjustment of the work logic and seamless integration with the Compute Blade. Uptime Industries FanSMART-1V1-0

The STA Fan Unit is a compact and efficient cooling solution designed to support the cooling of the Uptime Industries Compute Blade platform. With a high-quality Noctua NF-A4x20 5V PWM fan, it ensures reliability and stability in intensive working conditions, while offering simple installation and power supply without additional cabling. Uptime Industries FanSTA-1V1-0

Wide-angle lens with M12 mount included with the adapter. Focal length 3.56 mm and FoV 90°. Designed to work with the Raspberry Pi HQ camera. ArduCAM LN033

Set of 6 lenses with M12 mount included with adapter and accessories. Designed to work with the Raspberry Pi HQ camera. ArduCAM LK003

Advanced carrier board compatible with Raspberry Pi Compute Module 5 (CM5) and Compute Module 4 (CM4), offering support for modules in high-performance and energy-efficient servers. With PoE power supply, rack-mountability, and support for up to 20 units in a 1U space, it allows for scaling performance to 80 ARM cores, 160 GB RAM, and 10 TB NVMe storage, meeting needs from IoT projects to advanced cloud systems. BladeBasic-V1-0

Advanced carrier board compatible with Raspberry Pi Compute Module 5 (CM5) and Compute Module 4 (CM4), offering support for modules in high-performance and energy-efficient servers. With PoE power supply, rack-mountability, and support for up to 20 units in a 1U space, it allows for scaling performance to 80 ARM cores, 160 GB RAM, and 10 TB NVMe storage, meeting needs from IoT projects to advanced cloud systems. BladeDev-V1-0

Set of 5 lenses with CS-Mount. Designed to work with the Raspberry Pi HQ camera. ArduCAM LK004

reComputer R1013-10 is an industrial IoT computer with Raspberry Pi CM4, 2 GB RAM and 8 GB eMMC, offering 3 RS485 ports, two Ethernet ports with PoE support, and an M.2 NVMe slot. With edge AI support and extensive communication options, it is suitable for building automation systems, IoT, and fleet management.

The ED-LENS-M12-203500-08 lens can be used with the Raspberry Pi M12 High Quality camera module and other cameras with an M12 interface. This M12 lens, with a focal length of 35 mm, provides a horizontal field of view of 10.1° on 1/2" sensors.

The ED-LENS-M12-180780-08 lens can be used with the Raspberry Pi M12 High Quality camera module and other cameras with an M12 interface. This M12 lens with a focal length of 7.8 mm provides a horizontal field of view of 50.3° on 1/1.8" sensors.

The ED-LENS-M12-230325-13 lens can be used with the Raspberry Pi M12 High Quality camera module and other cameras with an M12 interface. This M12 lens with a 3.25 mm focal length provides a horizontal field of view of 117.6° on 1/2.3" sensors.

reComputer R1035-10 is an industrial IoT computer based on Raspberry Pi CM4 with 8 GB RAM and 32 GB eMMC, equipped with isolated RS485 interfaces, two Ethernet ports with PoE support, and an M.2 NVMe slot. With AI support and wireless communication, it is suitable for automation systems, fleet management, and edge AI applications.