Computer vision

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Open Sourcing Our Real-Time PPE Detection Mobile App

ai, AI (Artificial Intelligence), Android app, Artificial Intelligence, Computer vision, deep learning, Kotlin, Machine Learning, Mobile AI, mobile Development, object detection, On-Device AI, Open Source, PPE detection, Spritle Blog, SpritleSoftware, TensorFlow Lite, Workplace Safety, YOLOv8

By Spritle Software Engineering Team Workplace safety isn’t negotiable. But manual safety compliance monitoring is slow, inconsistent, and doesn’t scale. We built a real-time Personal Protective Equipment (PPE) detection app that runs entirely on your smartphone — no cloud, no expensive hardware, no delays. The Problem We’re Solving Every year, thousands of workplace accidents happen […]

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TII Releases Falcon Perception: A 0.6B-Parameter Early-Fusion Transformer for Open-Vocabulary Grounding and Segmentation from Natural Language Prompts

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In the current landscape of computer vision, the standard operating procedure involves a modular ‘Lego-brick’ approach: a pre-trained vision encoder for feature extraction paired with a separate decoder for task prediction. While effective, this architectural separation complicates scaling and bottlenecks the interaction between language and vision. The Technology Innovation Institute (TII) research team is challenging

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SAP and ANYbotics drive industrial adoption of physical AI

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Heavy industry relies on people to inspect hazardous, dirty facilities. It’s expensive, and putting humans in these zones carries obvious safety risks. Swiss robot maker ANYbotics and software company SAP are trying to change that. ANYbotics’ four-legged autonomous robots will be connected straight into SAP’s backend enterprise resource planning software. Instead of treating a robot

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Same toolbox, different tools: Understanding machine learning, computer vision and NLP in the public sector

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Advanced AI technology is transforming how governments think, work and solve problems. With new terminology and evolving tools, understanding AI can feel overwhelming. Before diving into new applications, it helps to build a strong foundation in its core concepts. This overview breaks down three of today’s most prominent AI capabilities: machine learning, computer vision and natural […] The post Same toolbox,

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Augmenting citizen science with computer vision for fish monitoring

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Each spring, river herring populations migrate from Massachusetts coastal waters to begin their annual journey up rivers and streams to freshwater spawning habitat. River herring have faced severe population declines over the past several decades, and their migration is extensively monitored across the region, primarily through traditional visual counting and volunteer-based programs. Monitoring fish movement and understanding

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Wristband enables wearers to control a robotic hand with their own movements

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The next time you’re scrolling your phone, take a moment to appreciate the feat: The seemingly mundane act is possible thanks to the coordination of 34 muscles, 27 joints, and over 100 tendons and ligaments in your hand. Indeed, our hands are the most nimble parts of our bodies. Mimicking their many nuanced gestures has

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Ai2: Building physical AI with virtual simulation data

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Virtual simulation data is driving the development of physical AI across corporate environments, led by initiatives like Ai2’s MolmoBot. Instructing hardware to interact with the real world has historically relied on highly expensive and manually-collected demonstrations. Technology providers building generalist manipulation agents typically frame extensive real-world training as the basis for these systems. For some

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