Great introduction to MIPI CSI2. Lattice Crosslink FPGA is programmed to imitate an IMX219 image sensor and transmit images to Jetson Nano.
Creating an image processing platform that enables HDMI input to output. This can be used as a base for HLS-based image processing demo.
Python does the image processing, Arduino controls the servos.
Caravaggio is a drawing machine able to replicate a digital image using a pen and a continuous line.
Autonomously functioning farmbot integrating IoT, image processing, automation, and Android application.
Use a MiniZed ZYNQ FPGA SoC to implement a real-time edge detection algorithm for lane detection.
IoT garden using Raspberry Pi and Telegram Bot to water plants, flip lights, take NDVI pics, videos, and more...
Sudoku-robot is a robot that solves and fills Sudoku grids!
Use a ZYNQ UltraScale+ to build a distributed camera vision system with image processing capabilities.
Zynq is a nifty tool for robotic applications. In this blog, we accelerate image processing using the MT9v034 camera and an Ultra96 board.
This project exploits the CSI input of the Raspberry Pi as a high-speed link to an Ultra96 Zynq board.
AI on the Edge streaming platform for yoga instructors and fitness coaches.
Use Python, OpenCV libraries and the PYNQ frame to implement the computer vision on Arty Z7-20 Xilinx Zynq SoC platform.
Determine a solar power plant's power output using data from the Cloud Motion Vector (CMV) Sensor System and a model of the power plant.
Creating a high performance edge processing node using the Ultra96, MIPI and DisplayPort.
Build a camera that automatically describes what it sees using AI captioning.
Smart Robot help to protect building residents in high rise apartment's access and common area with SanitizerOnDemand and DeliverySecured.
The robot is designed to operate by itself without manual control, and also pick up and drop an object using the forklifting concept.
Creating a low-cost imager solution using a Xilinx Spartan S7 and Arm Cortex-M1.
An android camera-based augmented reality app that automatically solve and fill sudoku puzzles using vision.
The implemented image segment uses K-Mean clustering algorithm for FPGA Devices, and it has been designed with a standard Xilinx AXI4 stream
Experiential advertising platform. Using the Ricoh Theta 360 camera.
Vision based technology using TinyML for plant leaf disease classification.
The ability to see across multiple elements of the EM spectrum, e.g. visible IR, provides significant benefits. Let's look how we can do it.
