How much does it cost to build a machine vision app?

Standard price for a machine vision app: $20,000

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What is a machine vision app?

A machine vision application is a web or mobile app with a camera that captures video and can analyze the video for objects of interest. The app may offer users the ability to view analytics data related to object detection, download videos recorded with the app, or export captured video for external analysis.

Machine vision apps are similar to other computer vision apps, augmented reality apps, and 3D modeling apps. Some of the most popular machine vision applications include Google Glass, Google Goggles, FLIR Systems’ thermal camera, and Microsoft’s Kinect.

Here are some recent machine vision app examples built with Crowdbotics:

  • A parking street sign app. Camera takes a picture of parking sign and converts that to data. Data is then stored in system with a GPS location. Sends data back to phone to let the person know if they can park there.

What is the typical cost to build a machine vision app?

A machine vision app usually costs $20,000 to build. However, the total cost can be as low as $20,000 or as high as $20,000. A machine vision app with a low number of features (also known as a "minimum viable product", or MVP) will be more affordable than an app that includes all intended functionality.

For example, here are some recent machine vision app price quotes from Crowdbotics:

  • $20,000

Here are some considerations that may impact the cost of a app:

How long does it take to build a machine vision app?

A machine vision app usually takes 267 hours to build. However, a machine vision app can be built in as few as 267 hours, or in as many as 267 hours. The exact timeline mostly depends on how complicated your app is. As a general rule, it will take longer if you require highly custom designs, niche features, or non-standard release platforms.

For example, the most recent machine vision apps built with Crowdbotics received the following hourly estimates:

  • 267

How to successfully grow your machine vision application

A machine vision inspection app must demonstrate the value of its technology and the efficiency that it can provide to its customers. In order to do this, a machine vision inspection company should invest in marketing campaigns and technical sales channels that help their customers understand how their products work. Additionally, they need to build a network of qualified partners who can provide services or products to their users.

Risks and challenges of building a machine vision application

A machine vision application can face a number of legal and technical risks related to the accuracy of user input, the appropriate use of copyrighted material, the storage and transmission of sensitive personal information, and the security of data stored on or transmitted through the app. Machine vision apps should ensure that users have appropriate access controls for storing data in cloud services and for transmitting data over internet connections. It is also critical that machine vision apps perform validation checks to ensure that data entered by users is within expected bounds.

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Some of the descriptions on this page were completed with AI assistance. Learn more here.