ST introduces new image sensors for automation, security and retail applications

ST has introduced a new family of 5MP CMOS image sensors: VD1943, VB1943, VD5943, and VB5943. These advanced ST BrightSense sensors are designed to accelerate the development of innovative vision applications across industries, including advanced industrial automation with enhanced machine and robotic vision, next-generation security including biometric identification and traffic management, and smart retail applications such as inventory management and automated checkout.

“Our new image sensors with hybrid global and rolling shutter modes allow our customers to optimise image capture, ensuring motion-artifact-free video capture and low-noise, high-detail imaging at the same time, making it ideal for high-speed automated manufacturing processes and object tracking. This architecture is unique on market today and provides unmatched flexibility, performance, and integration. We continue to broaden our portfolio of solutions for a wide range of industrial applications and want to bring the best of optical sensing technologies to both existing and new applications,” said Alexandre Balmefrezol, Executive Vice President and General Manager of STMicroelectronics’s Imaging Sub-Group.

The new sensors are ready for evaluation and sampling, with mass production scheduled to begin in February 2026.

The sensors provide hybrid global and rolling shutter modes, allowing developers to optimise image capture for specific application requirements. This functionality ensures motion-artifact-free video capture (global shutter) and low-noise, high-detail imaging (rolling shutter), making it ideal for high-speed object tracking and automated manufacturing processes.

Using 2.25 µm pixel technology and advanced 3D stacking, the sensors deliver high image quality in a smaller footprint. The die size is 5.76 mm by 4.46 mm, with a package size of 10.3 mm by 8.9 mm, and a 73%-pixel array-to-die surface ratio. This compact design enables integration into space-constrained embedded vision systems without compromising performance.

The RGB-IR variants of the sensors feature on-chip RGB-IR separation, eliminating the need for additional components and simplifying system design. This capability supports multiple output patterns, including 5MP RGB-NIR 4×4, 5MP RGB Bayer, 1.27MP NIR subsampling, and 5MP NIR smart upscale, with independent exposure times and instant output pattern switching. This integration reduces costs while maintaining full 5MP resolution for both colour and infrared imaging.

The sensors incorporate backside illumination (BSI) and capacitive deep trench isolation (CDTI) pixel technologies to enhance sensitivity and sharpness, particularly in low lighting conditions. Single-frame on-chip HDR improves detail visibility across bright and dark areas. These features enable high-quality imaging in challenging environments and support advanced machine vision and edge AI applications.

https://www.st.com

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Arduino UNO Q now available from from Mouser

The UNO Q features “dual brain” architecture, with a Linux Debian-capable Qualcomm Dragonwing QRB2210 microprocessor paired with a real-time STM32U585 microcontroller from STMicroelectronics. With integrated AI acceleration, efficient performance, and camera, display, and audio support, the QRB2210 microprocessor is built for next-gen robotics and IoT products. Containing the quad-core 2.0 GHz CPU, Adreno GPU, and 2x ISP, the UNO Q is a compact, cost-effective platform with advanced features like machine vision.

The ABX00162 UNO Q features 2 GB RAM and 16 GB onboard eMMC storage. The pre-loaded Arduino App Lab offers developers an open-source platform designed to rapidly ideate, prototype, and scale AI-powered solutions to production. Seamless integration of Arduino App Lab with the Edge Impulse platform also helps streamline and accelerate the process of building, fine-tuning, and optimising AI models using real-world data for a wide range of capabilities, such as object/human detection, anomaly detection, image classification, ambient sound recognition, and keyword spotting.

The UNO Q includes a pre-installed wireless module, providing dual-band Wi-Fi 5 (2.4/5 GHz) and Bluetooth 5.1 for wireless connectivity. Classic UNO headers, high-speed bottom headers, and a Qwiic I2C connector enable easy expansion. The SBC also features an onboard USB-Type C® connector with power delivery input and video output and an 8 × 13 LED matrix for visual creation and feedback.

www.mouser.com

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Connect smart meters, trackers, and sensors with NB IoT Click from Mikroe

NB IoT 6 Click is a compact add-on development board that provides reliable narrowband IoT connectivity for embedded applications. This new Click board from Mikroe, is created around the BC65, a high-performance multi-band NB-IoT module from Quectel with ultra-low power consumption and which is compliant with 3GPP Release 13 and Release 14 standards.
Comments Nebojsa Matic, CEO of Mikroe: “This new Click board enables enable designers to prove that they can connect smart meters, asset trackers, and sensors over long distances, then begin full product development immediately without having to learn new tools or pay for expensive development kits.”

Other applications include smart parking, wearables, smart city solutions, agriculture, environmental monitoring and home appliances that requires wide-area coverage and stable communication.

A new member of Mikroe’s 1900-strong mikroBUS -enabled Click board family, NB IoT 6 Click operates across a wide frequency range from approximately 700MHz to 2.2GHz, supporting LTE bands B1, B3, B5, B8, B20, and B28 with a transmission power of 23dBm ±2dB and a receiving sensitivity of –114dBm. Alongside the main UART interface with hardware flow control, it integrates auxiliary and debug UARTs, a general-purpose 10-bit ADC channel, a SIM card holder, a network status LED, and an SMA LTE antenna connector.

NB IoT 6 Click is fully compatible with the mikroBUS socket and can be used on any host system supporting the mikroBUS standard. It comes with the mikroSDK open-source libraries, offering flexibility for evaluation and customisation.  Click boards enable design engineers to change peripherals easily, cutting months off development time. To enable hundreds of Click board to be connected to the microcontroller or microprocessor, the mikroBUS uniform connection interface allows designers to connect any Click board to a main board instantly.

www.mikroe.com

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u-blox launches firmware-upgradeable meter-level GNSS for enhanced IoT performance

u-blox has announced the launch of the UBX-M10150-KB chip and the MAX-M10N module – the first M10-platform GNSS hardware designed with firmware upgradeability. Both products run the new SPG 5.30 firmware, introducing Low Energy Accurate Positioning (LEAP) – a mode that reduces power consumption by up to 50 percent while maintaining superior positioning accuracy. Designed for battery-powered devices, the new chip offers ultra-low power consumption of just 8 mW in continuous tracking. The new products are ideally suited for vehicle, people, and pet tracking, as well as livestock monitoring and wearable applications.

The UBX-M10150-KB and MAX-M10N extend the capabilities of the M10 family beyond previous ROM-based products. With SPG 5.30, they offer a set of new technical features: LEAP replaces cyclic tracking mode to achieve significant energy savings including external LNA power cycling, and RTCM corrections input supports positioning accuracy down to the sub-meter level. In addition, the firmware adds data logging and geo-fencing functions, enabling more autonomous tracking and monitoring directly on the device.

Both products include lifetime access to AssistNow Predictive Orbits and Live Orbits, which accelerate start-up times and improve positioning performance when using small antennas or operating in weak-signal environments. The EVK-M102 evaluation kit and u-centre 2 software are available to simplify the design-in phase for developers.

www.u-blox.com

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