Author: Debashis Das

Debashis Das is a technical content writer and embedded engineer with over five years of experience in the industry. With expertise in Embedded C, PCB Design, and SEO optimization, he effectively blends difficult technical topics with clear communication
Posted on by Debashis Das - 2 Comments on Flipper Blackhat is a Flipper Zero dual-band Wi-Fi card with an Allwinner A33 processor

Flipper Blackhat is a Flipper Zero dual-band Wi-Fi card with an Allwinner A33 processor

Flipper Blackhat - Flipper Zero dual-band Wi-Fi card

Developed by Rootkit Labs in Switzerland, the Flipper Blackhat is an open-source Allwinner A33-based Flipper Zero dual-band Wi-Fi card running Linux and designed for penetration testing, cybersecurity research, and wireless network analysis. Built around an Allwinner A33 quad-core 1.5GHz processor, it comes with 1GB RAM, and an onboard 2.4GHz WiFi radio (RTL8723DS), with additional connectivity via two USB-A ports and one USB-C (FTDI-connected). The package also includes a 5GHz USB WiFi dongle (RTL8821CU) and a WiFi antenna for the built-in radio but requires an SD card and Flipper device separately. Flipper Blackhat Specifications: SoC – Allwinner A33 CPU – Quad-core Arm Cortex-A7 processor GPU – Arm Mali-400 MP2 VPU – 1080p60 H.264, VP8, MPEG 1/2/4, JPEG/MJPEG video decoding 1080p60 H.264 video encoding Memory – 1GB RAM Storage – SD Card slot Wireless Connectivity Realtek RTL8723DS 2.4 GHz Wi-Fi Includes Realtek RTL8821CU 5 GHz USB Wi-Fi dongle Supports additional third-party Wi-Fi […]

Posted on by Debashis Das - 5 Comments on u-blox DAN-F10N – The world’s smallest dual-band (L1/L5) GNSS module with an integrated patch antenna fits in a 4cm2 package

u-blox DAN-F10N – The world’s smallest dual-band (L1/L5) GNSS module with an integrated patch antenna fits in a 4cm2 package

u blox DAN-F10N world’s smallest GNSS module

u-blox has recently announced the world’s smallest L1, L5 dual-band GNSS module with an integrated patch antenna for precise meter-level positioning in applications such as asset tracking, telematics, industrial automation, consumer UAVs, and sports trackers. The module features a compact 20x20x8mm dual-band patch antenna with a unique packaging technology, enabling surface mounting for automated manufacturing and simplified integration. Its SAW-LNA-SAW RF architecture and an LTE B13 notch filter in the L1 RF path enhance out-of-band jamming immunity, ensuring smooth operation near cellular modems. The module includes internal flash memory for firmware upgrades and supports an antenna switch function for operation with an external active GNSS antenna. DAN-F10N GNSS module specifications: Storage – Internal Flash for firmware GNSS receiver u-blox F10 engine GPS: L1 C/A, L5 QZSS: L1C/A, L1S, L1Sb, L5 Galileo: E1B/C, E5a BeiDou: B1C, B2a NavIC: L5 SBAS: L1 C/A, BDSBAS B1C Communication protocol NMEA UBX binary RTCM v. […]

Posted on by Debashis Das - No Comments on Panasonic PAN B511-1C Bluetooth 6.0 and 802.15.4 module features castellated holes and LGA footprint

Panasonic PAN B511-1C Bluetooth 6.0 and 802.15.4 module features castellated holes and LGA footprint

Panasonic PAN B511 1C Bluetooth 6.0 and 802.15.4 module

Panasonic industry has recently introduced the PAN B511-1C Bluetooth 6.0 and 802.15.4 module based on the Nordic Semi nRF54L15 SoC and designed for ultra-low-power wireless communication. The compact module integrates a chip antenna, 32MBit flash memory, two Crystals, and the Nordic nRF54L51 which provides a 128 MHz Arm Cortex-M33 microcontroller with Bluetooth 6.0 (LE), Thread, Zigbee, and Matter, along with multiple peripherals such as SPI, UART, I2S, PWM, and ADC. The PAN B511-1C also implements security features to support secure boot, secure firmware updates, cryptographic acceleration, and tamper detection, making it suitable for a range of IoT, industrial automation, smart home, medical (wearables), and battery-powered applications. PAN B511-1C module specification: SoC – Nordic Semiconductor nRF54L15 MCU cores Arm Cortex-M33 with Arm TrustZone @ 128MHz RISC-V coprocessor for software-defined peripheral Memory – 256KB SRAM Storage – 1.5MB non-volatile memory Wireless Bluetooth 6.0 Data rates – 2Mbps, 1Mbps, 500kbps, 125kbps Features AoA / […]

Posted on by Debashis Das - 4 Comments on Seeed reComputer J3010B Edge AI PC features NVIDIA Jetson Orin Nano with up to 67 TOPS of AI performance

Seeed reComputer J3010B Edge AI PC features NVIDIA Jetson Orin Nano with up to 67 TOPS of AI performance

reComputer J3010B Jetson Orin Nano Edge AI Computer

Seeed Studio’s reComputer J3010B Edge AI PC is built around the NVIDIA Jetson Orin Nano module, which offers up to 67 TOPS AI performance (67 TOPS in super mode), with up to 8GB LPDDR5 memory, and a pre-installed 128GB NVMe SSD for storage. The mini PC features two USB 3.2 ports, HDMI 2.1 video output, a Gigabit Ethernet jack, M.2 slots for SSD and Wi-Fi, a mini PCIe socket for LTE, a 40-pin GPIO header, and a 12-pin UART header. With a compact aluminum case and active cooling, it has an operating temperature range of -10 to 60°C and can be powered via a DC 9-19V input. These features make this device useful for AI, IoT, and edge computing applications, such as smart lampposts for traffic monitoring, EV battery swapping and charging systems, smart recycling centers for waste management, and more. reComputer J3010B specifications: SoM options NVIDIA Jetson Orin Nano […]

Posted on by Debashis Das - No Comments on IMDT V2N Renesas RZ/V2N SoM powers Edge AI SBC with HDMI, MIPI DSI, dual GbE, WiFi 4, and more

IMDT V2N Renesas RZ/V2N SoM powers Edge AI SBC with HDMI, MIPI DSI, dual GbE, WiFi 4, and more

IMDT V2N low power AI SBC

IMD Technologies has recently introduced the IMDT V2N SoM based on the newly launched Renesas RZ/V2N low-power AI MPU and its SBC carrier board designed for robotics, smart cities, industrial automation, and IoT applications. The SoM ships with 8GB RAM and 32GB eMMC flash, and supports various interfaces through B2B connectors including two 4-lane MIPI CSI-2 interfaces, a MIPI DSI display interface, and more. The SBC supports MIPI DSI or HDMI video output, dual GbE, WiFi 4 and Bluetooth 5.2,  as well as expansion capabilities through M.2 sockets. IMDT V2N SBC specifications: IMDT V2N SoM SoC – Renesas RZ/V2N Application Processor – Quad-core Arm Cortex-A55 @ 1.8 GHz (0.9V) / 1.1 GHz (0.8V) L1 cache – 32KB I-cache (with parity) + 32KB D-cache (with ECC) per core L3 cache – 1MB (with ECC, max frequency 1.26 GHz) Neon, FPU, MMU, and cryptographic extension (for security models) Armv8-A architecture System Manager […]

Posted on by Debashis Das - 9 Comments on Waveshare CM5-NANO-B is a compact Raspberry Pi CM5 carrier board with the same dimensions as the Compute Module 5

Waveshare CM5-NANO-B is a compact Raspberry Pi CM5 carrier board with the same dimensions as the Compute Module 5

Waveshare CM5 NANO B Raspberry Pi CM5 carrier bord with CM5

Waveshare has just released the CM5-NANO-B, a compact Raspberry Pi CM5 carrier board, with the same dimensions as the Compute Module 5 and multiple peripheral interfaces making it suitable for industrial automation, IoT, embedded computing, AI development, and other space-constrained applications. Key features include a Gigabit Ethernet RJ45 port, an unpopulated 40-pin Raspberry Pi GPIO header, a USB 3.2 Gen1 Type-A port, dual MIPI 4-lane interfaces, a mini HDMI port supporting 4K output, a USB audio 3.5mm jack, a microSD card slot, and a 16-pin PCIe Gen2/3 x1 connector. Power is supplied via a USB-C port (5V/5A), and additional features include an RTC battery header, a 4-pin PWM fan header, a dual-color LED indicator, and user-configurable buttons. Waveshare CM5-NANO-B specifications: Compatibility – Raspberry Pi Compute Module 5 (CM5) Storage – MicroSD card slot (for Raspberry Pi CM5 Lite) Display Mini HDMI output up to 4K resolution Up to 2x MIPI […]

Posted on by Debashis Das - No Comments on Jetway F35-ASL1 – A 3.5-inch Intel Atom x7433RE SBC with dual 2.5GbE, six COM ports, and triple 4K display outputs

Jetway F35-ASL1 – A 3.5-inch Intel Atom x7433RE SBC with dual 2.5GbE, six COM ports, and triple 4K display outputs

Jetwayipc F35 ASL1 3.5 inch subcompact SBC

Jetway F35-ASL1 3.5-inch subcompact SBC is built around the Intel Atom x7433RE (Amston Lake) processor and designed for industrial and embedded applications. This SBC supports up to 32GB of DDR5 4800MHz memory and offers triple display output via two HDMI ports, one USB Type-C DP, and an LVDS/eDP interface. It also includes two 2.5Gbps Ethernet ports, optional WiFi and Bluetooth and/or 4G LTE /5G cellular connectivity via M.2 slots. Storage options include a SATA III port, an M.2 M-Key, and an optional onboard 64GB eMMC. The board provides extensive I/O with one USB 3.2 Gen 2 Type-C, one USB 3.2 Gen 2, eight USB 2.0, and six COM ports. Built for industrial environments, it features a wide DC input range (12–28V) with power protection mechanisms (RVP, OCP, and OVP), and a rugged design supporting shock and vibration resistance. It is suitable for industrial automation, edge computing, IoT, digital signage, and […]

Posted on by Debashis Das - 1 Comment on Renesas RZ/V2N low-power AI MPU integrates up to 15 TOPS AI power, Mali-C55 ISP, dual MIPI camera support

Renesas RZ/V2N low-power AI MPU integrates up to 15 TOPS AI power, Mali-C55 ISP, dual MIPI camera support

Renesas RZ V2N MPU

Renesas has recently introduced the RZ/V2N low-power Arm Cortex-A55/M33 microprocessor designed for machine learning (ML) and computer vision applications. It features the company’s DRP-AI3 coprocessor, delivering up to 15 TOPS of INT8 “pruned” compute performance at 10 TOPS/W efficiency, making it a lower-power alternative to the RZ/V2H. Built for mid-range AI workloads, it includes four Arm Cortex-A55 cores (1.8GHz), a Cortex-M33 sub-CPU (200MHz), an optional 4K image signal processor, H.264/H.265 hardware codecs, an optional Mali-G31 GPU, and a dual-channel four-lane MIPI CSI-2 interface. The chip is around 38% smaller than the RZ/V2H MPU and operates without active cooling. The RZ/V2N is suitable for applications like endpoint vision AI, robotics, and industrial automation. Renesas RZ/V2N specifications CPU Application Processor – Quad-core Arm Cortex-A55 @ 1.8 GHz (0.9V) / 1.1 GHz (0.8V) L1 cache – 32KB I-cache (with parity) + 32KB D-cache (with ECC) per core L3 cache – 1MB (with ECC, […]

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