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South Africa
CNC Tool Tech SA/Dazzne South Africa Official are The Only authorized distributor of Dazzne SHOWtime products in South Africa and have direct access to the Dazzne Factory engineers for service, back up and firmware updates! CNC Tool Tech SA/Dazzne South Africa Official will not guarantee, maintain or replace any Dazzne products bought from any other supplier other than those sourced through CNC Tool Tech SA/Dazzne South Africa Official. Dazzne SHOWtime is a Factory Branded Product! DZ-91 Outdoor Motorcycle Cycling Helmet Extension Arm Tripod Mount suitable for: Dazzne P2, P2-WIFI, P3-WIFI and Go Pro Hero 2/ 3/ 3+/ 4 Free shipping for South Africa Only.  
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South Africa (All cities)
LIMITED EDITION "Midnight Black" EDITION - Don't be fooled by imitations. Roxant is the only authorized seller of our brand. If it's not in our box, it's not a ROXANT. Our superior design and construction provide "pro style" stabilization with less motion and shake compared to other handheld stabilizers. - The lower arm comes with NO SLIP GRIP which eliminates lower arm swing. For use with Point and Shoot, DSLRs, Video Cameras, GoPros, Smartphone and any other camera up to 2.1 lbs Elite Low Profile Comfort Handle Edition - with a lower center of balance making stabilization even easier. Great for indie film makers looking to move their films to the next level! Shoot smooth motion shots in tight spaces, on stairs, through crowds, in cars, walking/running/skating etc. LIFETIME Email Support + Free Video Tutorials This Is the Original AUTHENTIC Roxant Pro stabilizer in a LIMITED Midnight Black EDITION with the Elite Low Profile Comfort Grip Handle. This Stabilizer will help you to Shoot like a PRO with smooth steady action. Shake-Free video with Our Superior Handheld Camera Stabilizer
R 2.479
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South Africa (All cities)
Android 9 Pie. Official GOOGLE CERTIFIED. Dstv now and Shomax, Google chrome cast, Google assistant and so much more. 1 Year Warranty. MECOOL KM9 Pro Google Certificated TV Box sports the new high cost-effective chip, Amlogic S905X2 CPU, Quad core, ARM Cortex-A53 and a Mail-G31 MP2 GPU. This chipset is supported by 4GB of RAM and 32GB of internal storage. The implication of this hardware combination is that users will experience high performance and the video/image quality is ten times better than an average TV box. In addition, this SoC is a low power consuming chip which delivers seamless operation. You can either watch movies at high speed or download applications you want to use, and you don’t have to worry about its RAM size, it is more than enough.
R 1.399
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South Africa (All cities)
Give yourself more mounting options for your GoPro with this Grab Bag of mounts and spare parts. Includes Curved and Flat Adhesive Mounts, two Mounting Buckles, a 3-Way Pivot Arm, plus a variety of short and long thumb screws.
R 859
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South Africa (All cities)
Saleae16 Logic Analyzer 16 Channels 100M Sampling Rate 10G Depth ARM FPGA Decod Package weight: 0.22 kg Features: 1, the Saleae logic analyzer interface is easy to use 2, Saleae16 uses resource dynamic multiplexing technology, can achieve 3 channel 100M sampling rate, 6 channel 50M sampling rate, 9 channel 32M adoption rate and 16 channel 16Mzui high sampling rate, requiring the computer USB port must be 2.0. 3, Saleae16 sampling data is sent to the computer in real time, your computer's memory size is the memory of this device, and the compression algorithm is used, the data changes are saved, the software depth can up to 10G. 4, Saleae16 can automatically analyze up to 14 communication protocols such as UART, IIC, SPI, DMX-512, JTAG, etc., in addition to displaying the waveform, directly display the data size. 5, Saleae16 can display data in decimal, hexadecimal, binary, ASCII and other formats, so that you can analyze the data. 6, very useful trigger settings, you can start from the data part you want. 7, exclusive compatible with official software, can support all 32-bit and 64-bit systems of windows, linux, M'AC OS 8, exclusive circuit design, measuring input r'ange is ±50V, can perfectly measure the voltage of serial port 232, etc., can be measured normally below 50V. 9, support software unlimited update, now can support 1.2.18 various versions 10, can analyze UART, I2C, SPI, 1-Wire, A'tmel SWI, Biss C, CAN, DMX-512, HDMI CEC, I2S / PCM, JTAG, LIN, MDIO, M'anchester, PS / 2 keyboard / mouse, Simple Parallel 18 protocols such as UNI/O and USB1.1 Sampling frequency: 3 channels @100MHZ 6 channels @50MHZ 9 channels @32MHZ 16 channels @16MHZ 10G storage depth means that 100 seconds can be saved with 100M sampling rate, and 10,000 seconds of data can be saved with 1M sampling rate. Package included: 1 x Saleae Logic16 Logic Analyzer Host 1 x Set of Marking Lines 1 x USB cable 20 x Clips Click here for more deals Saleae16 Logic Analyzer 16 Channels 100M Sampling Rate 10G Depth ARM FPGA Decod Saleae16 Logic Analyzer 16 Channels 100M Sampling Rate 10G Depth ARM FPGA Decod
R 1.993
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South Africa (All cities)
Description: The OpenMV Cam is a small, low power, microcontroller board which allows you to easily implement applications using machine vision in the real-world. You program the OpenMV Cam in high level Python scripts (courtesy of the MicroPython Operating System) instead of C/C++. This makes it easier to deal with the complex outputs of machine vision algorithms and working with high level data structures. But, you still have total control over your OpenMV Cam and its I/O pins in Python. You can easily trigger taking pictures and video on external events or execute machine vision algorithms to figure out how to control your I/O pins. OpenMV official website: https://openmv.io/ OpenMV information: https://pan.baidu.com/s/1jIkQgp4 OpenMV to get started video: https://pan.baidu.com/s/1eR7cE22 The OpenMV Cam features: The STM32F765VI ARM Cortex M7 processor running at 216 MHz with 512KB of RAM and 2 MB of flash. All I/O pins output 3.3V and are 5V tolerant. The processor has the following I/O interfaces: - A full speed USB (12Mbs) interface to your computer. Your OpenMV Cam will appear as a Virtual COM Port and a USB Flash Drive when plugged in. - A USD Card socket capable of 100Mbs reads/writes which allows your OpenMV Cam to record video and easy pull machine vision assets off of the SD card. - A SPI bus that can run up to 54Mbs allowing you to easily stream image data off the system to either the LCD Shield, the WiFi Shield, or another microcontroller. - An I2C Bus, CAN Bus, and an Asynchronous Serial Bus (TX/RX) for interfacing with other microcontrollers and sensors. - A 12-bit ADC and a 12-bit DAC. - Three I/O pins for servo control. - Interrupts and PWM on all I/O pins (there are 10 I/O pins on the board). - And, an RGB LED and two high power 850nm IR LEDs. - The OV7725 image sensor is capable of taking 640x480 8-bit Grayscale images or 320x240 16-bit RGB565 images at 30 FPS. Your OpenMV Cam comes with a 2.8mm lens on a standard M12 lens mount. If you want to use more specialized lenses with your OpenMV Cam you can easily buy and attach them yourself. - For more information about the OpenMV Cam please see our documentation. Applications: The OpenMV Cam can be used for the following things currently (more in the future): Frame Differencing You can use Frame Differencing on your OpenMV Cam to detect motion in a scene by looking at what's changed. Frame Differencing allows you to use your OpenMV Cam for security applications. Color Tracking You can use your OpenMV Cam to detect up to 32 colors at a time in an image (realistically you'd never want to find more than 4) and each color can have any number of distinct blobs. Your OpenMV Cam will then tell you the position, size, centroid, and orientation of each blob. Using color tracking your OpenMV Cam can be programmed to do things like tracking the sun, line following, target tracking, and much, much, more. Marker Tracking You can use your OpenMV Cam to detect groups of colors instead of independent colors. This allows you to create color makers (2 or more color tags) which can be put on objects allowing your OpenMV Cam to understand what the tagged objects are. Face Detection You can detect Faces with your OpenMV Cam (or any generic object). Your OpenMV Cam can process Haar Cascades to do generic object detection and comes with a built-in Frontal Face Cascade and Eye Haar Cascade to detect faces and eyes. Eye Tracking You can use Eye Tracking with your OpenMV Cam to detect someone's gaze. You can then, for example, use that to control a robot. Eye Tracking detects where the pupil is looking versus detecting if there's an eye in the image. Optical Flow You can use Optical Flow to detect translation of what your OpenMV Cam is looking at. For example, you can use Optical Flow on a quad-copter to determine how stable it is in the air. QR Code Detection/Decoding You can use the OpenMV Cam to read QR Codes in it's field of view. With QR Code Detection/Decoding you can make smart robots which can read labels in the environment. AprilTag Tracking Even better than QR Codes above, the OpenMV Cam M7 can also track AprilTags at 160x120 at up to about 12 FPS. AprilTags are rotation, scale, shear, and lighting invariant state-of-the-art fidicual markers. Edge/Line Detection You can preform edge detection via either the Canny Edge Detector algorithm or simple high-pass filtering followed by thresholding. After you have a binary image you can then use the Hough Detector to find all the lines in the image. With edge/line detection you can use your OpenMV Cam to easily detect the orientation of objects. Template Matching You can use template matching with your OpenMV Cam to detect when a translated pre-saved image is in view. For example, template matching can be used to find fiducials on a PCB or read known digits on a display. Image Capture You can use the OpenMV Cam to capture up to 320x240 RGB565 (or 640x480 Grayscale) BMP/JPG/PPM/PGM images. You directly control how images are captured in your Python script. Best of all, you can preform machine vision functions and/or draw on frames before saving them. Video Recording You can use the OpenMV Cam to record up to 320x240 RGB565 (or 640x480 Grayscale) MJPEG video or GIF images. You directly control how each frame of video is recorded in your Python script and have total control on how video recording starts and finishes. And, like capturing images, you can preform machine vision functions and/or draw on video frames before saving them. Finally, all the above features can be mixed and matched in your own custom application along with I/O pin control to talk to the real world. Package included: 1 x  OpenMV3 Cam M7 Kit(as showed)
R 1.440
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