Machine vision checks specimens at the rate of several pieces per second.
Machine vision typically pays for itself in the first year. From that point, it’s all savings.
Inspections, quality checks, audit logs, and training are all automated with vision systems.
Machine vision can find errors and blemishes that cannot be detected by the naked eye.
Add Innovations’ machine vision algorithm is controlling a robot which captures images along a Mahindra tractor assembly line. The system analyses the captured images for a 78-point quality check of bolts and other hardware.
Add Innovations vision system is controlling a UR3 collaborative robot to complete coring and lubricating operations at Bluestar. Our algorithms can guide robots by manufacturers like KUKA, UR, FANUC, YASKAWA, DELTA, YAMAHA and ABB.
Add Innovations’ machine vision system uses deep learning based architecture to inspect the presence and quality of metal parts in electrical panel connectors manufactured by the renowned manufacturer Wago.
This machine vision system reads the weight and date codes printed on top of gas cylinders and checks for safety caps. System uses a deep learning based OCR algorithm at more than 4200 cylinders/hour
This machine vision system built by Add Innovations for Jacquar inspects faucet specimens for visual errors like blemishes, dents, cracks, porosity, scratches, grinding lines, bufflines, and presence of foreign particles.
The camera based inspection system measures haze/cloud condition in laminated glass sandwich panels. It detects incomplete de-airing between the glass panels leading to a foggy appearance savING hundreds of man hours at AIS.
Web Inspection System developed by Add Innovations for India’s largest abrasives manufacturer. It uses 6 line scan cameras to inspect grain side for oil patches, cut marks, scratches, air folds. It also inspects reverse side for missing print, oil patches, and print quality.
This machine vision system is Installed on the washing machine pulsatory assembly line. It reads model identification text on the pulsator and inspects for the presence of child parts corresponding to the model on top and bottom surface of pulsator. Installed at DLJM plant in Noida.
Add Innovations Machine Vision system is integrated with porosity testing apparatus for automotive filters for detecting and measuring bubble parameters during the test. The system has an accuracy of 1mm and can log input and output pressure, resistance, permeability and pore size.
From Mahindra to Wago, and form CUMI to Jaquar – Add Innnovations machine vision systems are saving time, eliminating humar error, and improving product quality at marquee companies across India.
NCR-based technology company with services and products in computer vision, machine vision, and vision inspection systems.
DIPP registered under #startupindia