Recent Updates
Updated list of Top 10 Radar Projects for Senior Thesis and Capstone Project.
New AN-28 YouTube video explains step by step process to configure OPS9243-A to send speed data into the Verkada Command dashboard.
OPS9243-A with WiFi interface released which can support Verkada LPR cameras to input speed data into Verkada Command dashboard. New AN-28 application note explains how to set up message flow with reference Node Red data on GitHub.
New Rolling Buffer feature for detection of very high speed events implemented in v1.2.3 of the OPS243-A code. The Rolling Buffer can be used for capturing bullet muzzle velocity or baseball. New AN-27 Rolling Buffer application note explains the details and reference Python code to enable and trigger the data capture available on GitHub. AN-10 API Interface is updated for the new feature.
The Field of View Calculator is updated to provide the width and length of the field of view based on the mounting inputs. The width relates to the horizontal beamwidth at the field of view center point and the length relates to the vertical beamwidth.
Updated AN-10 API Interface application note now available with vehicle classification OC mode description.
Updated version of AN-21 Vehicle Classification added.
Simple Matlab script for displaying plot of speed values posted to GitHub.
New Doppler & FMCW radar calculator provides speed and range resolution or max speed or range depending on radar configuration.
Confirm the accuracy of your OPS24x radar sensor with a tuning fork. See the full explanation in the new AN-26 Speed Accuracy Measurement Using Tuning Forks or watch the new YouTube video.
New page on our website provides instant viewing of data from your OPS24x radar sensor. Simply plug it into your PC via USB and go to our Serial Port page to see speed and/or range data from the sensor.
Here’s a list of Top 10 Radar Projects for Senior Thesis and Capstone Project
AN-14 UART and Arduino Support has been updated to cover all OPS24x sensors.
New AN-21 Vehicle Classification application note added for use with machine learning (ML) processing of vehicle classification and lane detection.
