add wasabi post (#52)

Author: JarbasAl

_posts/2026-01-14-OVOS-hivemind-industry.md

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+---
+title: "OVOS & HiveMind in the Manufacturing Industry"
+excerpt: "The COALA and WASABI EU projects have built an entire industrial voice-assistant framework around OVOS + HiveMind, integrating them with their own tools, UI, and conversation engines."
+coverImage: "/assets/blog/ovos-hivemind-industry/thumb.png"
+date: "2026-01-14T00:00:00.000Z"
+author:
+  name: JarbasAl
+  picture: "https://avatars.githubusercontent.com/u/33701864"
+ogImage:
+  url: "/assets/blog/ovos-hivemind-industry/thumb.png"
+---
+
+# OVOS & HiveMind in the Manufacturing Industry
+
+> This blog was originally posted in the [TigreGotico website](https://tigregotico.pt/blog/2025-11-26-OVOS-hivemind-industry)
+
+As the lead developer of **[OpenVoiceOS](https://openvoiceos.org)**, maintained by a non-profit, and the creator of **[HiveMind](https://jarbashivemind.github.io/HiveMind-community-docs/)**, I’ve always believed in open, privacy-respecting voice technology. What I did not anticipate was how quickly these tools would end up in industrial research, especially without any direct involvement from me.
+
+The **[COALA](https://coala-ai.de)** and **[WASABI](https://wasabiproject.eu)** EU projects have built an entire industrial voice-assistant framework around [OVOS](https://openvoiceos.org) + [HiveMind](https://jarbashivemind.github.io/HiveMind-community-docs/), integrating them with their own tools, UI, and conversation engines.
+
+I am not involved with these deployments, but the fact that the stack is being adopted organically is a strong validation of its design.
+
+---
+
+# WASABI Open Call
+
+The 2nd [WASABI Open Call](https://wasabiproject.eu/wp-content/uploads/2025/08/WASABI_Guide_for_Applicants_2nd-OC_vFIN.pdf) to provide financial support to at least 10 experiments led by SMEs recently closed.
+This open call is designed to support AI-based digital assistance experiments involving SMEs from manufacturing.
+
+All WASABI Open Call experiments are required to:
+
+* run the **WASABI/COALA OVOS Docker stack**
+* connect via **HiveMind**
+* develop a custom **OVOS Skill** containing their industrial logic
+
+The usage of OVOS/Hivemind is explained in these 2 documents from the Wasabi project:
+- [Deliverable D2.1](https://wasabiproject.eu/wp-content/uploads/2024/01/WASABI_D2.1_template_v0.7_FINAL.pdf)
+- [Deliverable D2.4](https://files.wasabiproject.eu/wp-content/uploads/2023/Docs/wp2/Deliverables/D2.4/WASABI_D2.4_Joint%20WASABI%20Demonstrator_v0.5_final.pdf)
+
+![wasabi_ovos](/assets/blog/ovos-hivemind-industry/wasabi_stack.png)
+
+---
+
+## Examples of Industrial Applications
+
+### **1. Worker Guidance & Assembly Support**
+
+Experiments like **[TICONAI](https://wasabiproject.eu/ticonai-2)** and **[SKITE](https://wasabiproject.eu/skite-main-2)** are using OVOS skills to guide workers during complex tasks such as assembling components, validating procedures, or providing step-by-step instructions hands-free.
+
+### **2. Quality Control and Error Reduction**
+
+Projects like **[WALLABI](https://wasabiproject.eu/wallabi)** and **[HUMANENERDIA](https://wasabiproject.eu/humanenerdia)** focus on providing workers with real-time instructions and checklists to prevent mistakes. Voice assistants help operators verify settings, remember safety checks, or cross-check parameters.
+
+### **3. Predictive Maintenance Assistance**
+
+Experiments such as **[GENIUS-PM](https://wasabiproject.eu/genius-pm)** use the assistant to give maintenance techs quick access to machine health data, fault explanations, and repair steps—especially when their hands are occupied.
+
+### **4. Logistics, Material Handling & Warehouse Support**
+
+**[VELO](https://wasabiproject.eu/velo-2)** and **[AIVEA](https://wasabiproject.eu/aivea)** use voice to help workers locate items, confirm inventory, or check delivery tasks while moving around a shop floor.
+
+### **5. Onboarding and Training**
+
+**[ONBOARD](https://wasabiproject.eu/onboard)** and **[AI-MODE](https://wasabiproject.eu/ai-mode)** test how new employees can be guided through tasks using voice guidance, reducing the burden on supervisors.
+
+### **6. Sustainability, Waste Tracking & Resource Efficiency**
+
+**[VAFER](https://wasabiproject.eu/vafer)** integrates voice interfaces with systems that monitor recycling, material reuse, and resource flows—hands-free reporting in factory environments.
+
+All of these rely on OVOS and on HiveMind for routing communication between devices, Android UI, and backend systems.
+
+---
+
+# What COALA/WASABI Built on Top of OVOS
+
+Although the projects produced no open-source industrial skills, they did create several components around OVOS + HiveMind:
+
+### **1. A RASA-based Domain Assistant (DA)**
+
+Earlier COALA research developed a **RASA NLP pipeline** trained on manufacturing conversations (about quality checks, troubleshooting, machine operation).
+In WASABI, this RASA engine is plugged into OVOS as a **skill**, handling domain-specific dialog.
+
+### **2. The COALA Android App**
+
+An Android front-end for workers, connecting to OVOS through HiveMind.
+
+Early version released here:
+[https://github.com/BIBA-GmbH/Mycroft-Android](https://github.com/BIBA-GmbH/Mycroft-Android)
+
+Features include:
+
+* login via Keycloak
+* text or voice chat
+* UI for instructions, warnings, and notes
+* HiveMind-based messaging
+
+### **3. A Full Docker-Based Industrial Stack**
+
+Both projects ship a preconfigured Docker environment bundling:
+
+* OVOS
+* HiveMind
+* Keycloak (user management)
+* RASA NLP engine
+* COALA connector services
+
+This forms the standard industrial voice-assistant stack that all WASABI experiments must deploy.
+
+### **4. An Industrial Speech Dataset**
+
+COALA published a speech dataset recorded in factories and workshops:
+[https://zenodo.org/record/8268928](https://zenodo.org/record/8268928)
+
+---
+
+# Why Industry Chooses OVOS + HiveMind
+
+The appeal is straightforward:
+
+* **Full transparency** (crucial for regulated sectors)
+* **Local/edge deployment** (no cloud dependency)
+* **Easy to integrate into existing equipment**
+* **Modular enough for custom proprietary skills**
+* **Distributed voice networks** (HiveMind satellites across a factory)
+
+In short: the combination is flexible, vendor-neutral, and respects industrial data constraints.
+
+---
+
+# Closing Thoughts
+
+I didn’t set out to build an industrial standard.
+I set out to build something open, reliable, and user-controlled.
+
+Seeing OVOS and HiveMind adopted by COALA/WASABI, without my involvement or promotion, is a quiet but powerful sign that open-source voice technology is maturing.
+
+A transparent, modular voice stack is no longer just a community dream.
+
+It’s becoming part of the industrial toolset used to guide workers, reduce errors, improve maintenance, and ensure safer operations.
+
+This is only the beginning.
+
+---
+
+## Help Us Build Voice for Everyone
+
+OpenVoiceOS is more than software, it’s a mission. If you believe voice assistants should be open, inclusive, and user-controlled, here’s how you can help:
+
+- **💸 Donate**: Help us fund development, infrastructure, and legal protection.
+- **📣 Contribute Open Data**: Share voice samples and transcriptions under open licenses.
+- **🌍 Translate**: Help make OVOS accessible in every language.
+
+We're not building this for profit. We're building it for people. With your support, we can keep voice tech transparent, private, and community-owned.
+
+👉 [Support the project here](https://www.openvoiceos.org/contribution)