What Is Computer Vision? And What Are The Computer Vision Companies To Watch Out In 2020?
Computer vision is an important Artificial Intelligence application that will transform many industries and many business processes. Also known as machine vision technology, this data-driven innovation allows machines to interpret the world visually. This visual data can be in the form of photos, videos, or feed from infrared and thermal cameras too. As a way of imitating the human visual system, the researchers in the field of computer vision intend to develop machines that can automate tasks that require visual cognition. One of the most commonly known examples of this technology is facial recognition. Currently, machine vision is driven by deep learning algorithms that use a special kind of neural networks, called convolutional neural network (CNN), to make sense of visual data. Further, Big data is also contributing to the development of what a computer’ eye’ can recognize and draw conclusions from what it ‘sees.’ Now, some companies are striving their best to set a remarkable example by setting computer vision as their business endeavor.
Founders: Avneesh Agrawal and David Julian.
Headquarters: Bangalore | San Diego
Netradyne’s revolutionary computer vision application named, Driveri™ is a vision-based driver recognition and fleet safety platform. The startup captures and analyses every minute of every driving experience, helping commercial fleet managers with insights that relate to positive driving and identifying opportunities for individual coaching. It also alerts drivers about any emergency on the driving route and collects data on lane driving and following traffic rules.
Founded: January 1, 2012
Founders: Ranjith Parakkal and Navaneethan Sundaramoorthy
This startup company uses Deep Learning-enabled vision algorithms that run on Edge servers, to develop surveillance solutions. Their applications include smart parking, toll automation, retail analytics, etc. Two of its exemplary products are: Uncanny Vehicam is a highly optimized AI-based Vehicle Detection, Tracking, Counting & Classification that is designed to run on an embedded system on the Edge and provide real-time analytics.
Second is Uncanny ANPR, which is an end-to-end AI-based Number Plate Recognition (ANPR / LPR) system that consistently delivers very high accuracy even in challenging conditions with fast-moving vehicles, different fonts, dirty number plates, difficult camera angles.
Founders: Siddharth Mall, Ajinkya Malasane, and Akshay Lal
This company enables computer vision and perception teams across the world to effortlessly build and manage ground truth data with our smart image and video annotation tools and fully managed labeling services. It focuses on building data for computer vision models that assist other companies that specialize in building autonomous vehicles, drones, and similar devices that necessitate high precision and accuracy. Today, Playment forms an essential part of a computer vision engineer’s toolkit as a reliable training and validation data bank. Apart from annotation, its services include transcription, content moderation, text analysis, and data collection.
Founders: Raghava Kashyapa
Headquarters: Bangalore | Redmond
Qualitas Technologies is a solutions provider catering to clients requiring expert industrial automation solutions. It enables companies to automate visual processes in manufacturing. The company solutions include, bearing inspection, visually guided robots, Optical Character Recognition, Inventory Tracking, precision Measurement using Machine Vision for online measurement, code reading, assembly verification, inspection of high speed continuous web (like paper, steel, ceramic, etc), using specialized high resolution, line scan cameras and others.
Founders: Milan Sharma, Nishant Mishra, Devendra Chandani, Himani Shah, and Ramakrishna M
It is India’s Most Awarded Agritech Venture Pioneering the Concept of Non-Destructive Digital Commodity Grading. Intello Labs provides expertise in computer vision, solutions to help farmers and other people whose livelihood depends on agricultural practices. Its Artificial Intelligence platform, objectively grades farm produce on the basis of color, size, and visual defects Its’ Handheld NIR scanner can detect Brix, pH levels, TSS, dry matter, moisture, pesticide residue. Moreover, it employs image matching and machine learning to measure the quality of crops. The company also helps e-commerce firms achieve more recognition in the online space.
Founders: Rajesh Kumar, Sridhar Manthani
Headquarters: Bangalore | Palo Alto
Streamoid offers AI solutions to personalize customer interactions in the fashion and retail industry. Using computer vision and Machine learning, the company analyzes millions of images daily to understand product attributes and extract fashion trends via a platform called piQit Fashion. Its computer vision solutions concentrate to provide intelligence like the difference between “dress shirts” and “shirt dresses” and work as a knowledgeable assistant. Its chatbot, called Stylebot caters to every stage of the buying cycle – from marketing, to sales, to customer support. It is a two-way communication channel that is easy to integrate, easy to discover and easy to use. It offers assistance in catalogue automation, create hyper-personalized experience for customers. Streamoid’s Outfitter is among the first AI styling engines that can take any item and automatically build an outfit/look around it.
Founders: Aakash Dhamasia, Vikram Jain
This company, has developed vision-based solutions for industries such as advertising, pharma, retail, and industrial automation for quality inspection. Its main domain is Computer Vision, and also includes works in Machine Learning, IOT, Drone-Autonomy and Media Streaming. One of its products Qualviz, is used by industries for quality inspection purposes using computer vision. Another product, ADSVIZ, which is a digital signage based advertisements that has a high retention rate and a lasting impression on viewers. This helps in gathering insights for market branding. It also manufactures hardware for surveillance cameras and designs drones that are driven by AI to track objects on the ground level.
Founders: Sachin Garg
Headquarters: Stuttgart | Palo Alto | Bangalore
It is robotics powered, computer vision-based data platform aiding businesses with real-time intelligent analysis and automation with the help of CCTV or other types of cameras. The computer vision platform uses 18 technology products and services, including Google Analytics, G Suite (formerly Google Apps for Work), and Apache Web Server. MintM’s robotic platform recognizes customers and objects to provide services such as footfall count, customer loyalty, queue measurement, personalization, and omnichannel experience. In the logistics sector, its services include package reading and scanning, number plate tracking, and several others.
Founded: July 24, 2015
Founders: Apurv Anand, Bharath Cheluvaraju, Rohit Pandey, Tathagato Dastidar
SigTuple combines the power of microfluidics, robotics, artificial intelligence (AI), and cloud computing to create Computer vision-based smart diagnostic solutions that make quality healthcare delivery affordable and accessible. One of its solutions Manthana has enabled it to work on five major high-volume screening processes of the healthcare industry – analysis of peripheral blood smears, urine microscopy, semen, fundus & OCT scans, and chest x-rays. Another solution called Shonit™ is a complete peripheral blood smear analyzer solution that automates the routine tasks like differential counts. Additionally, it provides a screening solution for various parasitic infections like malaria and disorders like anemia. In this, the images of blood smeared slides are analyzed on the cloud using state of the art image processing and deep learning techniques.
Founded: 17 August 2016
Founders: Abhisekh Mishra, Abdulla Hisham, Ritabrata Bhaumik
AIndra Labs is one of the top 10 Artificial Intelligence startup in India. The company focuses in Computer Vision (CV) and Machine Learning (ML). It specializes in processing images and videos captured from real life scenarios using our Visual Analytics Platform. This technology enables Forestry, Mining, Insurance and FinTech companies worldwide. Currently, Aindra has 2 products. The first product, Smart Identification is for Insurance sector of India whereas the second product, Smart Count is for Forestry sector of Latin America. The former is an AI powered risk analysis solution which uses computer vision and machine learning algorithms to automate the entire risk profiling process using our visual analytics platform. While SmartCount is a Cloud based platform solution with the capability process all the images in real time that are captured by drones, mobile or tablets for forestry companies. This video analytics platform provides capability of wooden log counting, defective wooden log analysis and other wooden log related quality and volumetric measurements using images of the wooden logs.