About Detect-It™

If you can see or hear it, and you can teach someone else to see it or hear it, we can Detect-It.

Located in Oak Park, Michigan, Detect-It is an AI Software and Neural Net Technology company. Detect-It’s team has nearly a century of expertise in automotive engineering, coding, programming and software development. Founded in 2020, the Detect-It team meticulously crafted Detect-It Net Builder and Net Runner, which launched in June 2021, after realizing the hurdles and complexities of creating and managing AI solutions using existing coding-based approaches.

Revolutionize your operations, safety, and the well-being of communities with Detect-It's cutting-edge technology. Empower your company, municipality, or government agency to harness the power of AI for manufacturing quality, zone security, and threat detection. Detect-It elevates efficiency and improves safety to make a positive impact on people’s lives.

Types of AI

Detect-It software is visual AI. We use deep learning to create human-like intelligence that is able to “see” whatever you tell it to. Generative AI, predictive AI, and visual AI are all subsets of artificial intelligence, but they serve different purposes and utilize distinct techniques.

Generative AI

Generative AI refers to systems that generate new data samples or outputs that mimic real-world data distributions. These systems are trained on a dataset and learn to generate new, realistic data samples that are similar to the examples they were trained on. Generative AI techniques include generative adversarial networks (GANs), variational autoencoders (VAEs), and autoregressive models.

Example applications of generative AI include:

  • Image generation: Creating realistic images of faces, objects, or scenes.

  • Text generation: Generating human-like text, including stories, poems, or dialogue.

  • Music generation: Creating new musical compositions or mimicking the style of a particular artist.

Predictive AI

Predictive AI, also known as predictive analytics or machine learning, involves building models that make predictions or forecasts based on historical data patterns. These models are trained on past data to learn relationships between input variables and target outcomes, allowing them to make predictions on new, unseen data. Predictive AI techniques include regression, classification, and time series forecasting algorithms.

Example applications of predictive AI include:

  • Predictive maintenance: Forecasting when equipment is likely to fail based on sensor data and maintenance records.

  • Sales forecasting: Predicting future sales volumes based on historical sales data and market trends.

  • Risk assessment: Evaluating the likelihood of events such as credit defaults, fraudulent transactions, or equipment failures.

Visual AI

Visual AI, also known as computer vision, involves teaching computers to interpret and understand visual information from images or videos. Visual AI systems analyze pixel data to recognize objects, extract features, and make sense of visual scenes. Techniques used in visual AI include convolutional neural networks (CNNs), object detection algorithms, and image segmentation methods.

Example applications of visual AI include:

  • Object recognition: Identifying objects, people, or animals in images or videos.

  • Image classification: Categorizing images into predefined classes or categories, such as identifying handwritten digits or classifying types of plants.

  • Facial recognition: Recognizing and identifying individuals based on facial features, often used for authentication or surveillance purposes.

While each subset of AI serves distinct purposes, Detect-It’s visual AI specializes in being the smart eyes behind any camera. If you can give Detect-It a view of something, we can detect it.