Swedish Epishine is launching its second revolutionary product to the market. Following their previous solar cells, the new OneCell has the same market-leading high performance in low-light, but with an added focus on design.
Today, the majority of sensors and low-power electronics rely on disposable batteries, resulting in a higher environmental impact and increased maintenance costs due to frequent battery replacements.
Devices using light power provide an excellent solution to these issues, but often design choices such as buttons or other form factor issues can limit the available surface area for the solar cell. For a viable solution, the device must be integrated with a solar cell that is both high in performance, and flexible in design.
The Epishine OneCell , with its high performance and innovative design, is a combination that the market has not seen before. It is produced in Sweden, using a unique roll-to-roll manufacturing technique that enables efficient mass-production of the modules. OneCell is composed of organic and non-toxic materials, making it the most sustainable and environmentally friendly solution for powering small wireless electronics on the market.
“The adaptability and design of our OneCell introduces a range of new possibilities for applications in the industry. Our mission has been to help our partners create self-powered applications through light power, and the OneCell is our next big step.” – Hassan Abdalla, Product Manager at Epishine
A unique feature of the OneCell is its ability to maintain its high performance even with cut-outs in the surface, enabling new types of light-powered applications with customized layouts. The OneCell can be adapted to various surface finishes, such as soft touch plastics, leather, and brushed materials and can thereby be seamlessly integrated into devices made with these materials. OneCell is available in sizes ranging from 20cm2 to 300cm2, making it adaptable for a wide range of applications.
“This is the next level in our important progress of sustainable powering solutions, eliminating the need to compromise on design to maintain high performance. “- Anna Björklou, CEO at Epishine
The product is available today as engineering samples and in pre-series production later this year.
The most recent version of the Extreme Wi-Fi Smart Switch, SONOFF MINIR4, is also the smallest one out there. It comes packed with a variety of intriguing features, such as an improved ESP32 chip, detach relay mode, external switch control, and many others. It will be of tremendous assistance to you in the process of transforming your house into a smart home.
Exciting Characteristics
Its compact size enables it to be put in various mounting boxes, including the mounting box that meets the European standard for the smallest size. It measures about mm(2.36 inches) and is a comparatively smaller version than MINIR2 and MINIR3. The dimension is 39.5 mm x 33 mm.
Control of the Switch from an External Source: Connecting to the SPDT switch, latching switch, momentary switch, door exit switch, and even dry contact sensors is a breeze with this switch.
Detach Relay Mode: The MINIR4 has a mode called “detach relay,” which separates the states of the relay from the states of the external switches. This means that activating the button on an external switch will not change the state of the relay.
The MINIR4 is a smart switch that has the gateway function of eWeLink-Remote Control built into it. After successfully connecting with MINIR4, it will be able to install “eWeLink-Remote” sub-devices such as R5 and S-MATE. Both R5 and S-MATE have the ability to manage MINIR4 locally via the eWeLink-Remote signal and can function as remote controllers.
Certifications from TÜV, CE, and FCC guarantee a product is safer and more trustworthy than others on the market. A simulation of the products abnormal short-circuit is performed, and each potential component that could be affected is tested. Ensures that the product does not pose a risk of electric shock even in the event of a malfunction, that there is no evidence of burning or flame, and that no component reaches a high enough temperature to create a potential hazard for fire in the surrounding areas. It has the highest flame retardant Grade V-0 devise enclosure available, and its relay can switch 1,00,000 times, which is 2.5 times longer than it could previously.
The ESP32 is a solution that is in high demand for use in smart home products because it provides an exceptional level of safety and reliability. in Its capacity to provide long-lasting and reliable operation because of its speedy performance provided by its dual cores and its ample memory.
When the screws were tightened too quickly in the previous method of tightening wire with screws, the wire could be crushed or even cut. The newly designed connection port is not only more secure but also less likely to cause the wire to become damaged, and it does a better job of holding the wires in place. It can work with apps like Google Assistant and Alexa and is voice-controlled. In order to automate your home, it is compatible with motion sensors, door and window sensors, and even more. The dimension is 39.5 x 33 mm with Input/Output power is 100-240 V with 50/60 Hz 10A Max and Wi-Fi is IEEE 802.11b/g/n 2.4 GHz
This link below will also give a detailed guide.
Purchase information:
The product page sells SONOFF MINI Extreme Wi-Fi Smart Switch MINIR4 for $9.90 with free shipping.
Loud ESP, developed by Crowd Supply, is a portable, open-source ESP32-powered audio development platform with a touchscreen and support for Bluetooth and Wi-Fi networking. Rich audio development board powered by the ESP32 and known as the Loud ESP. The Loud ESP is offered with or without a color touchscreen, and it comes equipped with a number of accessories that facilitate a wide variety of user interactions. Because of its small size, portability, ability to run on batteries, and adaptability to a wide range of enclosures, it is a perfect platform for the development of wearables and other types of smart devices. They provide a repository of example code to use as a basis for developing their own software and making things easier.
Application
It is versatile for use in audio applications and features wireless connectivity and touchscreen capability. There are a variety of uses that are well suited for Loud ESP’s capabilities. It is possible to use it as a portable speaker system that is equipped with Wi-Fi and Bluetooth capabilities, as an internet-radio receiver, as a framework for designing wearables and talking gadgets, or as a smart speaker that is connected to the platform of choice, such as Spotify.
Specification:
The ESP32 Dual Core 32-bit LX6 microcontroller is utilized as the MCU Core. It has 240 MHz of processing speed, 16 MB of flash storage, and 8 MB of (PSRAM).
It has CP2102 Serial communication and a Flashing chip.
Battery management is excellent, with features such as Li-Ion battery charging with charge status indication, battery overcharge and over-discharge protection, battery overcurrent protection, and built-in DAC for reading battery voltage.
It has an onboard power switch with a 2-pin connector for an external battery as well as an onboard battery holder for 14500 batteries (touchscreen version only).
The audio capabilities that are offered include a dual I2S stereo DAC (Maxim Integrated MAX98537) with a built-in D-Class amp and 3 W per channel on 4 Ohm load up to 92% efficiency with an onboard 5.5 V boost converter.
I/O interfaces for Wi-Fi and Bluetooth, RGB LED, RGB LED strip header 2.8-inch, 320-by-240-pixel TFT screen with touch sensor (only available in touchscreen version), IR reader (only available in touchscreen version), SD Card Slot (only available in touchscreen version), JTAG Header (only available in touchscreen version), Rotary Encoder/Joystick Header (touchscreen version only)
In addition, there are RESET and GPIO0 (FLASH) buttons provided.
There are software examples available for all of the onboard peripherals.
It is technically compatible with enclosures designed for the Raspberry Pi 4. (touchscreen version only)
A comparison of the features of these two audio development kits with those of other comparable platforms is also available on the product page (i.e., Audio-Kit ESP32-A1S, ESPlay Micro, Obsidian ESP32, M5Stack Core ESP32, etc.).
The documentation is on the GitHub repository, including board schematics, firmware, and sample code. Visitors may follow their progress on Hackaday.io.
Purchase Information
It is priced at $50.00 for the Loud ESP and $30 for the Small variant, respectively.
Radxa’s ROCK Pi S is a single-board computer (SBC) that is based on the Rockchip RK3308 architecture. A small computer that really “rocks” and is perfect for all of your ideas! It is equipped with a 64-bit quad-core processor, USB, ethernet, and wireless connectivity, as well as a voice detection engine, and its screen size is 1.7 inches, which makes it ideal for IoT and voice applications. The ROCK Pi S is available with either 256MB or 512MB of DDR3 RAM, and it boots its operating system from a microSD card. On-board storage variants of the ROCK Pi S with 1 GB, 2 GB, 4 GB, or 8 GB of NAND flash are available as an optional extra.
Rockchip RK3308 Soc is a high-performance Quad-core application processor developed for intelligent voice interaction, audio input/output processing, and other digital multimedia applications. It is utilized in ROCK Pi S RK3308. ROCK Pi S RK3308 uses Rockchip RK3308 SoC. Embedded rich audio interfaces, such as I2S, PCM, TDM, PDM, SPDIF, HDMI ARC, and so on, may meet the development needs of a variety of audio application types, minimize the complexity of developing new hardware, and cut the cost of developing new hardware.
Specification
It features a System-on-Chip (SoC) RK3308 Quad Cortex-A35 ARM 64-bit processor with a maximum frequency of 1.3 GHz.
It comes in 256 MB Memory and 512 MB RAM variations.
MicroSD (TF) cards and onboard NAND flash memory with capacities of 1/2/4/8 GB are both available for use with this device.
The ROCK Pi S draws power from and transmits data over the same USB Type-C connection. It is compatible with USB 2.0 HOST (type A) and USB 2.0 OTG (type C)
It has an RJ45 connector with a 10/100 Mbit Ethernet speed.
In addition to that, it comes with an optional PoE (additional HAT required). The PoE connector has two groups: Group 1 (PIN#1 and PIN#2) and Group 2 (PIN#3 and PIN#4).
WiFi 802.11b/g/n and Bluetooth 4.0 with an external antenna connector are both included in the package.
It has a GPIO header with 26 pins. IO interface for expansion header with 26 pins, including I2C x4, PWM x3, SPI x2, UART x3, and I2S0 x1. 5V DC power in x2, 3.3V DC power in x2.
The measurement is 1.7 x 1.7 inches (38.1 x 38.1 mm).
It is compatible with Debian, Ubuntu, Armbian, and Slackware ARM.
ROCK Pi S onboard storage variant with 1Gb/2Gb/4Gb/8Gb SLC NAND flash (data protection in case of power loss) is one of its extra features. This version is optional.
Power consumption is 0.5 W while the device is not in use and 2.8 W when it is.
The processor does not need any heat management.
Two buttons can be found on the ROCK Pi S Board: the Reset key and the Maskrom key.
Power LED and User LED are both included with the ROCK Pi S.
Here, you may find full information on specifications. Technical details are provided in great detail on this page. Here are some more development-related hints.
Purchase information
On the product website, ROCK PI S V1.3 can be purchased for $37.90. Check the available options and their associated costs.
Elephant Robotics introduced its first AI Kit in 2021. It is a robotic toolkit with integrated modules for vision, positioning, grabbing, and automatic sorting. AI Kit is a better resource for those just getting started in robotics and who want to learn about machine vision and AI. Elephant Robotics has thoroughly revised the AI Kit in response to the ongoing development of technology, enhancing the hardware’s quality and refining the software and built-in algorithms to make the product more extensible and scalable. The Artificial Intelligence Kit 2023 has a wide range of applications and is highly open and expandable. It is simple to use for robotics research and study, higher education training platforms, or individual learning and project development.
The Artificial Intelligence Kit 2023 is newly enhanced with five significant image recognition algorithms and seven hardware improvements, enabling six robotic arms of Elephant Robotics. With the help of this kit, users can study the fundamentals of robotics from 8 different perspectives while using visualization software. Positioning, grasping, and automatic sorting are all possible. The software can be used to implement the control of the robotic arm using the Python platform. Users can benefit from the open-source creative culture, understand the fundamentals of artificial intelligence, and more with AI Kit 2023.
Features
Machine vision is a technique that employs machines to take the position of human eyes in the recognition, assessment, and measurement of target objects. The key technologies used in machine vision which uses computers to replicate human vision include target image acquisition, image information processing, and target object measurement and recognition. The basic components of a typical machine vision system are the vision perception unit, the image information processing and recognition unit, the processing result display unit, and the vision system control unit.
5 Major Visual Recognition
The AI kit has five major visual recognition algorithms built in. Also, users can use four different forms of QR CODE identification to discover how 2D and 3D relate to one another. Users may easily master the You Only Look Once (YOLOv5) algorithm and comprehend image segmentation and features with the aid of feature point recognition.
Color recognition AI Kit 2023 operates in eye-to-hand mode, uses OpenCV to localize colors, frames out colored objects, and uses the relevant point location to determine the objects’ spatial coordinate position with respect to the robotic arm. With the algorithms, the robotic arm on AI Kit 2023 will automatically distinguish the color items and classify them into the correct bins.
Aruco codes help to increase the quantity of information that can be mapped from the two-dimensional environment to three-dimensional time. To allow the recognition of 4 different codes, Elephant Robotics has incorporated recognition algorithms into AI Kit 2023. Users can learn about related location applications and recognition techniques.
Feature point describes the capacity to represent an image or target in the same or very comparable invariant form in other similar images, including the same scene. By comparing the differences between the pixel points and the 16 pixels in the surrounding field, the feature points are identified, and the segmentation test algorithm significantly increases the detection efficiency. Users can learn picture segmentation, interpret image feature points, and save image features with the use of this AI Kit 2023 algorithm.
YOLO is a particularly well-liked model architecture and object identification method. Elephant Robotics creates this algorithm using the YOLOv5, the most recent version included in the AI Kit 2023. YOLOv5 makes further enhancements on the basis of the YOLOv4 algorithm, and the detectability, including speed and accuracy, is further strengthened. Users of YOLOv5 can gain a greater knowledge of artificial intelligence, including the idea behind the application of deep learning and neural networks.
Pattern recognition has a lot to do with how we recognize the shapes of objects. In computers, object shapes are represented in a variety of ways. Many alternative shape identification techniques have been put forth based on different shapes, including techniques based on fourier descriptors, principal component analysis, and invariance distance. It is crucial to recognize the pattern components that serve as the recognition’s foundation in shape recognition.
Specifications
Hardware upgrades
Hardware-wise, AI Kit 2023 increases the number of parts boxes in various sizes to help the robotic arm classify items more accurately. Second, AI Kit 2023 employed a camera that was more accurate and had its lightness adjusted to improve the robotic arm’s identification capabilities. In order to improve its adaptability and stability when working with various robotic arms, Elephant Robotics has also improved the suction pump that is positioned at the end of the robotic arm.
4 x Small bin
Big bin
2 x Camera extrusion strand
Camera
Accessories pack
Black and white velcro
Arm base
Suction pump
Suction pump connection wire
Image cards and Wooden blocks
Acrylic plate
The above list is the kit components of an AI robot in which a small bin, big bin, camera extrusion stand, camera, arm base, suction pump, and acrylic plate are hardware upgrade that comes with AI robot kit 2023.
AI Kit 2023 has an acrylic base with a screen print.
It has a universal robotic arm-fixing Base
It has a 2-megapixel USB camera and a fill light camera.
Also included in the package are an aluminum extrusion stand, large and small bins, and a suction pump V2.0.
Pearl sponge is used for packing.
Recognition speed is 300 ms for color/shape/QR code and 600 ms for feature points.
The dimension is 500 X 400 X 405 mm.
Recognition accuracy is about 3 mm.
The camera name is USB distortion-free camera.
Image pixels are 2M 1080p.
Supported image formats are- MJPG/YUY2 with a pixel size of 3.0 um x 3.0 um.
The maximum frame rate for MJPG：1920*1080@30fps and YUV：1920*1080@30fps.
The power supply is around DC 5V 90 mA.
It is a 110° Field of view with no distortion.
The lens focal length is 2.8 mm.
The supported system are Windows XP/7/8/10/VISTA/SEVEN/MAC LINUX(include uvc)/Raspberry Pi/Android 4.2+
Comparatively MyCobot AI Kit comes with an acrylic base with no screen print, and the robotic Arm fixing base is only suitable for myCobot 280 with 1 megapixel USB camera. The camera bracket is made of a fiber tube and a suction pump, and other parts like a material box, rash bins, and EVA Packing sponge are provided.
Software updates
The AI Kit 2023 from Elephant Robotics has customization options and built-in visualization software. Users of this software have the direct option to choose from a variety of algorithms to carry out various tasks and modify coordinates. Users may interact with and manipulate data in a variety of ways thanks to the visual interface, which also makes it easy to swiftly identify, retrieve, and manipulate data. Now that AI Kit 2023 is more user-friendly, even beginners who are new to programming or have no prior experience with code can use it with a few simple clicks.
Numerous educational institutions and universities have already accepted AI Kit 2023 as an instructional tool for professional or laboratory use, enabling students to learn to better grasp artificial intelligence, robotic programming, and automation. Elephant Robotics is concentrating on creating more and better robotics kits and solutions in order to expand the use of robotics in research and education and to offer the technology and education sector more comprehensive conditions. Learning OpenCV, Python, ROS, Inverse Kinematics, Hand-eye calibration, Robot vision, Robot control concept, and End-effector use are all possible with the help of the vision education kit.
Purchase information
Elephant robotics shop sells artificial Intelligence Kit 2023 For MyCobot/MyPalletizer/MechArm Robotic Arms at $1,048.59 without shipping which is a great kit for robotic algorithms and machine vision learning.
Additional information
Textbook and Tutorials for Robotics
Elephant Robotics has also launched a handbook on machine vision programming and control to offer comprehensive support to experimental and practical instruction. Programming languages, robotic arms, vision sensors, and other topics are covered in the book. For K–12 schooling, educational institutes, and colleges, it is the ideal option. Students will benefit from robotics through experiential learning with easier operation when utilizing AI Kit 2023 with the aid of the tutorials and textbooks. Also, Elephant Robotics will regularly post videos on YouTube and Hackster about programming the AI Kit 2023.
Latest additions to SoM portfolio developed for AI/ML, industrial and cost-sensitive embedded devices with performance metrics now validated by internal benchmarking
Variscite, a leading worldwide System on Module (SoM) designer, developer and manufacturer, will demonstrate its newest SoMs for the first time at Embedded World 2023 at stand 3A-135, from March 14-16 at Messezentrum Nuremberg in Germany.
Variscite’s VAR-SOM-MX93 is ideal for energy-efficient machine learning edge devices, with a rich set of features for markets like industrial, IoT, and smart devices at an attractive price point, starting at only $39. Powered by 1.7GHz Dual Cortex-A55 NXP i.MX 93 processor, the industry’s first implementation of the Arm® neural processing unit (NPU), Ethos™-U65 microNPU, VAR-SOM-MX93 accelerates ML workloads and offers an energy-flex architecture for efficient processing. The SoM offers an additional 250MHz Cortex-M33 real-time co-processor, AI/ML capabilities, built-in security and a wide range of industrial features.
Starting at only $33, the VAR-SOM-AM62, powered by Texas Instruments’ AM62x features an ideal platform for cost-sensitive embedded products that require low power, high performance and a GPU. The VAR-SOM-AM62 runs on 1.4 GHz Quad-core Cortex-A53 AM625x with 400MHz Cortex-M4F and additional 333 MHz PRU real-time co-processors. It offers rich connectivity options like a camera interface, dual LVDS display, certified dual-band Wi-Fi, BT/BLE 5.2, 3x CAN bus, dual USB, and dual GbE.
The company unveils real-world machine learning performance benchmarks for the latest addition to its SoM portfolio. For this performance benchmark, Variscite compared 3 modules with different CPU performance, pricing, power efficiency level and ML options.
In internal benchmarking, running video-based object classification tests, the VAR-SOM-MX93 utilizing the Ethos-U65 NPU performed with an average inference time of 4.9 ms and an average video throughput of 30 fps on a 640×480 input video. Running the same tests on the VAR-SOM-MX8M-NANO with no NPU demonstrated an average inference time of 300 ms and average video throughput of 1 fps. Finally, the VAR-SOM-MX8M-PLUS utilizing its NPU yields an average inference time of 2.9 ms and an average video throughput of 30 fps.
“Our newest modules represent the next generation of Variscite’s technology and provide state-of-the-art platforms for robust, reliable, power efficient and cost-effective embedded computing devices,” said Ofer Austerlitz, VP Business Development and Sales of Variscite. “We look forward to presenting show attendees the module’s capabilities.”
Both SoMs are compatible with the VAR-SOM Pin2Pin product family, allowing Variscite’s customers to easily scale at any point of the product lifecycle while using the same carrier board for all platforms. The Pin2Pin family provides an extended lifespan, reduced development time, costs, and risks as well as advanced scalability options from entry-level to high-performance modules.
Embedded World Exhibition & Conference is both a global platform and event for the embedded computing community, including leading experts, key players, and industry associations. In addition to hundreds of exhibitors, Embedded World includes programs, panels, and educational opportunities in embedded technologies, from components and modules to operating systems, hardware and software design, M2M communication, services, and various issues related to complex system design. Nearly 18,000 developers, system architects, product managers and technical management attended the most recent Embedded World.
New Delay Lines with Digitally Buffered Inputs/Outputs allow for Programmable Delay Values
Omni Pro Electronics has announced its release of the new 4- and 8-Bit Monolithic Programmable Delay Lines from Data Delay Devices. These digitally programmable lines are used in medical imaging, industrial, aerospace and other timing-critical applications. Omni Pro offers the 8-bit lines with step sizes ranging from 50ps through 20ns, and a quad 4-bit line with step sizes from 1ns through 400ns. These devices use all-silicon, CMOS technology and are vapor-phase, IR and wave solderable. Temperature stability is typically ±1.5% (-40°C to 85°C).
The 4-bit 3D3424 and 3D7424 devices have four independent programmable lines on one chip and have a low quiescent current (5mA typical). They also both have delay tolerance of 3% or 2ns, line-to-line matching of 1% or 1ns typical and a minimum input pulse width of 10% of total delay. The 3D3424 has is available in steps sizes of 1ns through 300ns and has a Vdd stability of ±0.5% typical (3.0V to 3.6V), while the 3D7424 step size range is 0.75ns through 400ns with a typical Vdd stability of ±0.5% (4.75V to 5.25V).
The 8-bit 3D3428, 3D3438, 3D7428 and 3D7438 are programmable via serial or parallel interface and have a delay tolerance of 0.5% and typical supply currents of 2mA or 3mA. The 3D3428 and 3D3438 have 3.3V CMOS compatible inputs and outputs while the other two have TTL/CMOS compatible inputs and outputs.
Features and Benefits:
Step Sizes Range from 50ps through 20ns
Quad 4-bit Line with Step Sizes from 1ns through 400ns
All-silicon, CMOS Technology
Vapor-Phase, IR, and Wave Solderable
Temperature stability ±1.5% (-40°C to 85°C)
Applications:
Medical Imaging
Aerospace
Industrial
Timing-Critical Applications
Custom solutions are also available through Omni Pro Electronics. As a franchised distributor, Omni Pro Electronics supplies the entire line of Monolithic Delay Lines, Tapped Delay Lines, Multiple Delay Lines, Programmable Delay Lines and Variable Delay Lines, Pulse Generators & Oscillators, and Passive Delay Lines.
Silanna Semiconductor has launched a fully integrated reference design for 65W multiport faster chargers in a 1C1A format.
The RD-35 design is built around Silanna’s AC-DC controller and DC-DC converter technology and featuring a silicon superjunction FET for fast chargers with one USB Type-A and one Type-C interface (1C1A) delivering up to 3.25A.
The operating efficiency greater than 92% minimizes power consumption during charging, while no-load consumption of less than 300 mW reduces standby power. Efficiency is relatively flat across the universal (90 – 265Vac) input voltage range and low-to full-load conditions.
The RD-35 combines Silanna’s 16pin SZ1131 fully-integrated AC-DC active clamp flyback (ACF) controller and the company’s SZPL3102A high-voltage, high-efficiency integrated 65W buck converter. The AnyPort architecture provides the flexibility to complete a charger design for a given power level prior to specifying and configuring the specific number and type of output ports.
This allows a single base charger design to be deployed across various end products with different Type-C and Type-A output configurations. Time-to-market is further reduced as the RD-35 exceeds conducted and radiated EMI requirements, eliminating the need for pre-production validation and certification.
“Manufacturers are looking to create multi-port fast chargers that address stringent performance, power density and efficiency requirements within tight time-to-market deadlines,” says Ahsan Zaman, Silanna Semiconductor’s Director of Product Marketing.
“In line with our other production-ready reference designs, the combination of Silanna’s CO2 Smart Power family of advanced AC/DC and DC/DC technologies and the innovative AnyPort architecture enable engineers to reduce the time needed to develop and test 65W 1C1A multi-port designs and ensure the fastest possible route from prototyping to full production.”
Full availability of PCB Gerber and production files further reduces the time from prototyping to full production.
A specialized 1.6-megapixel camera that can capture rapid motion without introducing artifacts typical of rolling shutter cameras. Ideal for fast motion photography and machine vision applications.
A camera for motion photography and machine vision
The Raspberry Pi Global Shutter Camera is a specialized 1.6-megapixel camera that is able to capture rapid motion without introducing artifacts typical of rolling shutter cameras. It is ideally suited to fast motion photography and to machine vision applications, where even small amounts of distortion can seriously degrade inference performance.
Specification
Form factor: 38 × 38 × 19.8mm (29.5mm adapter and dust cap)
Weight: 34g (41g with adapter and dust cap)
Sensor: Sony IMX296LQR-C
Resolution: 1.58 megapixels (color)
Sensor size: 6.3mm sensor diagonal
Pixel size: 3.45μm × 3.45μm
Output: RAW10
Back focus length of lens: Adjustable (12.5–22.4mm)
Included accessories: C-CS mount adapter, screwdriver
Tripod mount: 1/4”-20
With a large pixel size of 3.45μm × 3.45μm providing high light sensitivity, the Global Shutter Camera can operate with short exposure times (as low as 30μs with adequate lighting), an advantage for high-speed photography.
It features a 1.6MP Sony IMX296 sensor, and it has the same C/CS-mount lens assembly as the Raspberry Pi High-Quality Camera, for compatibility with the same broad variety of lenses. In common with other global shutter sensors, the IMX296 has a lower resolution than similarly sized rolling shutter sensors; a low pixel count is appropriate for machine vision applications, where high-resolution images are challenging to process in real-time. The Global Shutter Camera’s lower resolution means that with appropriate lens magnification, an image suitable for processing by a machine vision model can be captured natively.
The Raspberry Pi Global Shutter Camera includes a C- to CS-mount adapter, a screwdriver, and a 150mm ribbon cable, as well as a removable plastic back cover for protection. It is compatible with any Raspberry Pi computer that has a CSI connector.
All models of Raspberry Pi Zero require a Raspberry Pi Zero camera cable to connect to the Raspberry Pi Global Shutter Camera; the standard cable supplied with the camera is not compatible with the smaller Raspberry Pi Zero camera connector. Suitable cables are available at low cost from many Raspberry Pi Approved Resellers, and are supplied with the Raspberry Pi Zero Case.
Texas Instruments OPT3005 Ambient Light Sensor (ALS) is a single-chip lux meter measuring the intensity of light as visible by the human eye. The extreme IR rejection and precision spectral response of the OPT3005 enable it to accurately meter the intensity of light as seen by the human eye regardless of the light source and any stray light from 850nm or 940nm active illumination. The extreme IR rejection helps to maintain high accuracy when industrial design calls for mounting the sensor under the dark glass, especially with active 850nm or 940nm NIR illumination. These systems typically have a lot of NIR stray reflections from the cover glass, which can affect the light sensor measurement. The precision optical filtering of OPT3005 is verified for resilience to such stray NIR reflection and truly measures the ambient light as perceived by the human eye.
The Texas Instruments OPT3005 is designed for systems that create light-based experiences for humans. It is a preferred replacement for photoresistors, photodiodes, or other ambient light sensors with less human eye matching and IR rejection. Measurements can be made from 20mlux up to 166klux without manually selecting full-scale ranges using the built-in, full-scale setting feature. This capability allows light measurement over a 23-bit effective dynamic range.
Features
Precision optical filtering to match the human eye
Rejects 99.99+% (4+ orders) of Near Infrared (NIR) light over a large angle of incidence
Built-in automatic full-scale light range selection logic, which switches measurement range based on input light condition with excellent gain matching between ranges
Measurements (20mlux to 167klux)
12 Binary-weighted full-scale range settings
< 0.2% (typical) matching between ranges
23-Bit Effective dynamic range with automatic gain ranging
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