Raspberry Pi AI Camera with Sony IMX500 AI sensor and RP2040 MCU launched for $70

Raspberry Pi AI camera

We previously noted that Raspberry Pi showcased a Raspberry Pi Zero 2W with a Raspberry Pi AI camera based on a Sony IMX500 intelligent vision sensor at Embedded World 2024, but it was not available at the time. The good news is that the Raspberry Pi AI camera is now available for $70 from your favorite distributor. This follows the launch of the more powerful Raspberry Pi AI Kit designed for the Raspberry Pi 5 with a 13 TOPS Hailo-8L NPU connected through PCIe. The AI camera based on a Sony IMX500 AI camera sensor assisted by a Raspberry Pi RP2040 to handle neural network and firmware management is less powerful, but can still perform many of the same tasks including object detection and body segmentation, and works on any Raspberry Pi board with a MIPI CSI connector, while the AI Kit only works on the latest Pi 5 board. […]

reServer Industrial J501 – An NVIDIA Jetson AGX Orin carrier board with 10GbE, 8K video output, GMSL camera support

reServer Industrial J501 Carrier board

Seeed Studio’s reServer Industrial J501, a Jetson AGX Orin carrier board designed for building Edge AI systems. With up to 275 TOPS of exceptional AI performance, this carrier board is designed for advanced robotics and edge AI applications for industrial environments. The carrier board features GbE and 10GbE LAN via RJ45 ports, three USB 3.1 ports, an HDMI 2.1 output, and multiple M.2 slots for expansion, including support for wireless connectivity via the M.2 Key B socket. Additionally, it has support for 8K video decoding and up to 8 GMSL cameras via an optional extension board. reServer Industrial J501 Jetson AGX Orin carrier board specification System-on-Module (one or the other) SoM –  NVIDIA Jetson AGX Orin 64GB with CPU – 12-core Arm Cortex-A78AE v8.2 64-bit processor with 3MB L2 + 6MB L3 cache GPU / AI accelerators NVIDIA Ampere architecture with 2048 NVIDIA CUDA cores and 64 Tensor Cores @ […]

Intel RealSense Depth Module D421 offers a low-cost depth-sensing solution at just $80

Intel RealSense Depth Module D421

Intel RealSense Depth Module D421 is an entry-level stereo depth module with a 0.2 to 3-meter recommended range, a global shutter to capture motion without artifacts, and a 75° × 50° field of view (FoV). Intel has made RealSense Depth cameras for years, including the popular RealSense D435i with 6 DoF tracking introduced in 2018 that currently sells for about $320. But not all projects need the most advanced features and/or are viable when needing to spend several hundred dollars on the camera itself. The RealSense Depth Module D421 is a much cheaper way to integrate depth-sensing into projects at a much lower price point. It’s fairly similar to the earlier D435 but lacks an RGB camera. Intel RealSense Depth Module D421 specifications: Based on the Intel D4 Vision Processor Image sensor technology – Global Shutter Recommended Range – 0.2 m to over 3 m (varies with lighting conditions) Depth […]

M5Stack ESP32-S3-Pico-based devkits: ATOMS3R with 0.85-inch color display, and ATOMS3R Cam with VGA camera

ATOMS3R ESP32-S3-Pico devkit

M5Stack ATOMS3R and ATOMS3R Cam are two tiny devkits based on ESP32-S3-Pico system-in-package and a similar design but the first one features a 0.85-inch color color IPS display, while the other is equipped with a GC0308 VGA camera. Both modules measure just 24x24mm with a thickness of around 13mm, integrate BMM150 and BMI270 motion sensors, offer GPIO expansion through female headers and a grove connector, and feature an infrared transmitter and a USB Type-C port for power and programming. Those are the second devkits based on the ESP32-S3-Pico SiP after we covered the tiny OMGS3 module earlier this week. M5Stack ATOMS3R with display ATOMS3R specifications: SiP – Espressif ESP32-S3-PICO-1-N8R8 SoC ESP32-S3 dual-core Tensilica LX7 up to 240 MHz with 512KB SRAM, 16 KB RTC SRAM Wireless – WiFi 4 and Bluetooth 5 LE + Mesh Memory – 8MB QSPI PSRAM Storage – 8MB QSPI flash Display – 0.85-inch color IPS screen […]

Mayhem v2 expansion for Flipper Zero adds Wi-Fi, BLE, camera, microSD card slot, and NRF24 or CC1101 radio support

Mayhem v2 Flipper Zero Expansion board

Erwin Ried‘s Mayhem v2 is an all-in-one ESP32 and NRF24L01-based expansion board designed for Flipper Zero. This board adds Bluetooth and Wi-Fi through an ESP32-S module, features 2MP camera with flashlight, a microSD card slot, and support for either an NRF24L01 module (for sniffing and mousejacking) or a CC1101 module (for external radio communication). These features make this Flipper Zero add-on board useful for WiFi and Bluetooth penetration testing, motion detection, QR code reading, and as a nanny cam with remote access. Previously we have written about similar expansion boards like the Flipper Zero ESP8266 Deauther which adds de-authentication capabilities and the Flipper Add-On CANBus which can be used to sniff, send, and log CAN bus packets directly from the Flipper Zero. Feel free to check those out if you are interested in those tools. Mayhem v2 Flipper Zero add-on board specification Wireless Module – ESP32-S WiFi 802.11 b/g/n + […]

Vantron HCAM26 WiFi HaLow IP camera offers up to 1km range

Vantron HCAM26

Vantron HCAM26 is an IP camera based on the company’s VT-MOB-AH-L sub-GHz 802.11ah WiFi HaLow module itself equipped with Morse Micro MM6108 RISC-V SoC and offering up to 1km range and better wall penetration than WiFi security cameras operating at 2.4 GHz or 5GHz frequencies. The Linux camera comes with 1GB RAM and 8GB eMMC flash, features a 5MP (2592 x 1944) camera sensor, supports AI features through a 2.0 TOPS NPU integrated into the main SoC,  and is also fitted with a speaker and microphone for two-way audio, and a micro HDMI port to monitor the camera output. A 2,600mAh Li-ion battery powers the camera. Vantron HCAM26 specifications: SoC – Unname, but most likely Rockchip RV1126 CPU – Quad-core Arm Cortex-A7 32-bit vision processor with RISC-V core ISP – 14MP ISP VPU H.265/H.264 codecs Frame rate – 3840 x 2160 @30 fps + 1080p @30 fps encoding supported ; […]

reCamera modular AI camera features SG2002 RISC-V AI SoC, supports interchangeable image sensors and baseboards

Seed Studio reCamera 2002w

Seeed Studio’s reCamera AI camera is a modular RISC-V smart camera system for edge AI applications based on SOPHGO SG2002 SoC. The camera is made up of three boards: the Core board, the Sensor board, and the Baseboard. The Core board includes hosts the processor, storage, and optional Wi-Fi. The Sensor board consists of image choice of image sensors, and the Baseboard provides various connectivity options including USB Type-C, UART, microSD, and optional PoE port and CAN bus connectivity options. At the time of writing the company has released the C1_2002w and C1_2002 core boards. The C1_2002w core board includes eMMC storage, Wi-Fi, and BLE modules, and the C1_2002 features extra SDIO and UART connectivity, but not WiFi. Both boards use the SOPHGO SG2002 tri-core processor and can be paired with various camera sensors for applications such as robotics, healthcare, smart home, as well as buildings and industrial automation.   […]

Review of Napcat wireless NVR with solar-powered security cameras

Napcat solar-powered wireless NVR review

After I reviewed the NapCat smart video doorbell last June, the company asked me to review a wireless NVR with solar-powered security cameras and I understood I would receive a kit with four solar-powered cameras and an NVR with storage preinstalled. In this review, I’ll go through an unboxing, a quick teardown of the NVR, the installation process, and my experience with the Napcat NVR user interfaces (connected to HDMI) and the Napcat Life Android app which I also used with the video doorbell. Napcat wireless NVR N1S22 kit unboxing The package I’ve received reads “N1S22” model of a “Solar-powered Security Camera System” and is quite smaller than I expected. One reason for the small size is that my kit only comes with two cameras instead of four, and the company also did a good job of making everything take as little space as possible. On the net, you’ll see […]

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