Deep-dive into building reliable Vision AI solutions
From street corners to doorbells and city buses, cameras are everywhere. Unfortunately, most of the time, the insights available in these rich data sources go untapped. There are many exciting and valuable vision AI models available today, but they’re difficult to put into production.
To solve this, an end-to-end Vision AI solution is needed to collect, process, and extract insights from image-based data sources. Watch this video as we’ll look at real-world use cases of designing and deploying vision AI models for production.
New Kind of Experience, Frictionless
SpringML helps businesses get up running on vision and video AI solutions quickly. Our collaborative and agile approach is designed to help you unlock insights from unstructured data sets.
Cloud Vision API
How We Create Value
- Improves citizens lives
- 75% in potholes identified
- Saved $20,000 a year
- 90% accuracy in detecting potholes
- Streamlined manhole detection & grading
- Detected 5,000 manholes
- Saved CMSD $40,000 every year
With Our Solution Accelerators, you can
Establishing the movement of objects and triggering the response quickly
Monitor Road Conditions
Identify, fix potholes and detect patterns of urban blight
Identify Scene Changes
Ability to detect the changes in the environment with accuracy
Recognize Road Signs
Designed to reading and classifying the road signs efficiently
Specify Region of Interest
Establishing the specific region for easy identification
24x7 Live Analytics
Deriving insights to make informed decisions
Hybrid Cloud Solutions
Implementing smart solutions to optimize operations
Determining and classifying the information
In the News
Ready to get started?
To learn more about SpringML's Vision AI solutions or to request a demo