From my previous blogs, we now know much about computer vision, how it works, the major industry challenges, and how RMSI’s One-Stop, Easy-to-use AI-Powered Intelligent Computer Vision Solution can help its clients to overcome these concerns and challenges.
This blog focuses on how businesses are reshaping their operations with the help of computer vision use cases and applications and how RMSI’s computer vision solution plays a crucial role in helping businesses to kick off and reach remarkable heights. We help businesses design, develop and implement – Computer Vision applications, and offer a wide range of capabilities.
With the advent of computer vision, there have been some significant organizational developments In the recent times. This growth in the usage of computer vision applications can be seen due to:
- Use of advanced techniques, i.e., deep learning, which is a subset of artificial neural networks
- Improvements in computing performance (i.e., Hardware and Software Units), and
- Growing amount of visual data that we collect and generate today (used for training CV models)
Many industries have been benefiting from the advancements in computer vision. In particular, telecommunications (e.g., AR/VR/5G/IoT, etc.) and medical are the two most expected industries where computer vision applications are bound to grow significantly, along with other industries such as transportation & logistics, manufacturing, warehousing, and security. Let’s take a look at each of them in more detail below.
Benefits to Key Industries
Retail and Manufacturing – Computer vision has helped the retail and manufacturing industry by reducing the risk of injury with the help of solutions “Hat Detection”. CV also helps in detecting defects and barcodes. In addition, computer vision has made inventory management easier.
Medical/Health Care – This AI-enabled application has helped the medical field by making cancer detection easier, offering accurate X-ray/MRI reports and quick COVID-19 sample detection.
Transportation and Logistics – Computer vision has helped the transportation and logistics industry by detecting any violation, parcel or container number for loading goods, an easier inspection of the quality check of goods, and parking management.
Video Surveillance and Security – Computer vision has majorly contributed to the mission-critical zones by increasing security standards, which include facial recognition to unlock doors and grant access.
Telecom – Computer vision improves the accuracy of the processes that are highly human dependant, reduces the repetitive tasks by automating them, increases delivery speed, and reduces operational expenditures.
Successful Industry Use Cases
RMSI’s near real-time, high-quality AI/ML-based approach with algorithms identifies the content automatically and solves a wide range of industry use cases across multiple domains/verticals, including:
I. OCR and Automate Data / Text Capturing
Our tools enable easy conversion of printed or handwritten text/documents into a digital format/text, which can be used as a future reference for dashboards & creation of reports, quality validation, audits, and database reconciliation & correction, etc.
Use Cases
- Make Model & Serial No. of Devices / Equipments etc.
- Field Monitoring / Details – Timesheet, Arrival / Departure time, Work ID, Lat-Long, etc.
- Finance Process Automation – Extraction of relevant Text details from Bill / Invoice / Receipt (e.g., Name, Date, Mode of Payment, Amount Paid, Receipt / Bill No, Meter reading, etc.)
- Signboard Text Extractor (e.g. Stop / Warning / Danger / Caution etc.)
II. Object Identification & Detection
Identify and locate required objects or boundaries within the image or video and help extract required features, label them, and give meaningful insights.
Use Cases
- Damage & Abnormally Detection Cargo & Infrastructure e.g. Pit
- Multi-Object Detection / Identification and Tagging – Person, Car, and Bus in one frame
- Infrastructure Type / Dimension Detection – PIT/Manhole/Pole/Cabinet/Telecom Site etc.)
- PPE Kit Detection – Colour, Hats, Goggles, Shields, etc.
- Landforms, Type of Land Detection – Fire, Water, Landforms (Mountain/plateaus) & Land type (Cement / Grass / Mud)
- Image Quality detection — Sharpness, Colour, Blear, Pixel, etc.
III. Improved Management Services & Processes
Automation and digitization of human/paper / manual processes help to deliver quality results with better accuracy and scalability.
Use Cases
- Desktop / Office Based Survey — Assessing the feasibility of erection of a new pole or cabinet, checking for incorrectly connected cables, tilted antennas, and detecting work abnormalities.
- Pre and Post – QA improvements / Validation of work done
- Management & Distribution of Mobility & Traffic
- Ensuring Work Done — Pre-post comparison of multiple images of the work
Many industries have been benefiting from the advancements in computer vision, and with technology getting mature, we expect more & more use cases to come in the future. As a result, industries are bound to grow substantially along with saving in cost & efforts.
The below matrix showcases how computer vision is beneficial at an organizational level
Key Takeaways
This blog focused on how computer vision technology provides remarkable improvements across industries, from simple security & monitoring to enabling next-gen technologies across medical, telecom & AR/VR sectors.
Stay tuned for our upcoming blogs in this series. We will learn in detail how RMSI’s computer vision solutions are helping the telecommunications industry (e.g., AR/VR/5G/IoT, etc.) to achieve their goals.