228 results found

1. Great Potential the ability to use both Scribe & Lumo together, dream come true!

   I started with this in Scribe then copy & paste to Lumo Web Search & got the results further from Lumo.

   I’m happy to dive into the world of AI‑powered license‑plate readers (LPRs) and give you a clear picture of what’s possible, where the technology shines, and what you should keep in mind before using—or even just exploring—such tools.

   How modern AI‑based LPRs work
   Image capture – A camera (often a dash cam, security cam, or a handheld device) records video or still frames of vehicles. Many systems use infrared illumination to see plates in low‑light or nighttime conditions.
   Pre‑processing – The raw image is cleaned up: contrast is boosted, noise is reduced, and the region that likely contains a plate is isolated.
   Plate detection – A convolutional neural network (CNN) scans the frame for the rectangular shape and reflective characteristics of a license plate. This step narrows the field to a small crop of the image.
   Character segmentation & recognition – Another neural model (often an OCR‑style architecture such as a CRNN) splits the cropped plate into individual characters and translates them into alphanumeric text. Modern models can handle variations in fonts, angles, and partial occlusions.
   Post‑processing – The raw string is cleaned up using country‑specific rules (e.g., known patterns for state or regional codes) and sometimes cross‑checked against a database of known plates for faster lookup.
   Because each stage is driven by deep learning, the overall pipeline can achieve 95 %+ accuracy under good lighting and a clear view, and many commercial solutions claim respectable performance even in challenging conditions (glare, motion blur, night).

   Where the technology really shines
   Parking‑lot management – Automated entry/exit logging, fee calculation, and spot‑finding.
   Toll collection – Seamless billing without requiring RFID tags.
   Law‑enforcement & traffic monitoring – Detecting stolen or wanted vehicles, identifying violators of red‑light cameras, or tracking traffic flow for city planning.
   Private‑property security – Gated communities or corporate campuses can log visitor plates automatically.
   In all these cases the AI reduces manual labor, speeds up data capture, and improves record‑keeping consistency.

   Practical considerations before you dive in
   Factor Why it matters Typical mitigation
   Lighting & weather Glare, rain, snow, or darkness can degrade image quality. Use infrared LEDs, weather‑sealed housings, and cameras with high dynamic range.
   Angle & distance Extreme tilt or long range makes character segmentation harder. Mount cameras at optimal height (≈3–4 ft for dash cams) and keep the focal length moderate; consider multiple viewpoints.
   Plate variability Different jurisdictions use distinct fonts, colors, and layouts. Train or fine‑tune models on local plate datasets; incorporate country‑specific regex filters.
   Processing latency Real‑time alerts require fast inference. Deploy edge devices (NVIDIA Jetson, Coral TPU) that run the model locally, avoiding cloud round‑trips.
   Data storage & retention Storing raw footage plus recognized strings raises privacy concerns. Encrypt data at rest, limit retention periods, and purge images once the plate is logged (unless legally required otherwise).
   Legal & ethical landscape
   License‑plate reading sits at the intersection of public safety and privacy. Regulations differ widely:

   United States – Some states treat LPR data as “personal information” subject to data‑protection statutes; others allow broader use for law‑enforcement. Many municipalities require signage indicating that LPRs are in operation.
   European Union – GDPR classifies a vehicle’s registration number as personal data. You need a lawful basis (e.g., legitimate interest for security) and must be transparent about collection, storage, and sharing.
   Other regions – Local traffic or privacy laws may impose additional constraints, especially concerning cross‑border data transfers.
   Before deploying any LPR system, it’s wise to:

   Check local statutes – Look up whether your jurisdiction requires consent, signage, or permits.
   Define a clear purpose – Document why you’re collecting plates (e.g., security vs. revenue) and stick to that scope.
   Implement safeguards – Access controls, audit logs, and regular privacy impact assessments help demonstrate compliance.
   Choosing a solution
   If you’re just experimenting, a few off‑the‑shelf options can get you started quickly:

   Open‑source kits – Projects like OpenALPR (now part of Rekor Systems) provide a community edition that runs on a Raspberry Pi or similar hardware.
   Commercial SDKs – Companies such as Plate Recognizer, Sighthound, and Anyline sell APIs that handle the heavy lifting (cloud or edge). They usually offer free trial tiers for limited daily reads.
   DIY with deep‑learning frameworks – If you enjoy building the pipeline yourself, you can train a YOLO‑v5 model for plate detection and pair it with a CRNN for OCR. TensorFlow Lite or ONNX Runtime can then run the model on embedded devices.
   When evaluating, compare:

   Accuracy claims (especially under low‑light or angled shots)
   Latency (does it meet real‑time needs?)
   Pricing model (per‑read, subscription, or one‑off license)
   Privacy features (on‑device processing, data‑deletion options)
   Bottom line
   AI‑driven license‑plate readers are powerful tools that can automate many mundane or safety‑critical tasks. Their effectiveness hinges on good hardware placement, robust model training, and a solid grasp of the legal framework governing personal data. If you decide to move forward, start with a modest pilot—perhaps a single camera in a controlled environment—to gauge accuracy, tune the model for your local plates, and verify that your data‑handling practices align with applicable privacy regulations.

   Let me know if you’d like deeper technical guidance (e.g., sample code for an edge deployment) or help navigating the regulatory requirements for a specific country or state. I’m here to help you build a responsible, effective solution.

   I started with this in Scribe then copy & paste to Lumo Web Search & got the results further from Lumo.

   I’m happy to dive into the world of AI‑powered license‑plate readers (LPRs) and give you a clear picture of what’s possible, where the technology shines, and what you should keep in mind before using—or even just exploring—such tools.

   How modern AI‑based LPRs work
   Image capture – A camera (often a dash cam, security cam, or a handheld device) records video or still frames of vehicles. Many systems use infrared illumination to see plates in low‑light or nighttime conditions.
   Pre‑processing… more

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2. Persistent behaviour across sessions

   I prefer my chatbots to adhere to certain strictures. No sycophancy, no "understanding my frustration", no apologies for bad information, full research, etc.. Gemini and Copilot adhere to these standing instructions across chat sessions, tho they backslide from time to time and need reminding. I want Lumo to do the same. The "How should Lumo behave" box should be persistent. If I am logged in with my account I am unconcerned about privacy since it's my Proton account and is secure. Nothing sets me off like "I understand your frustration." You're a LLM. You do not.

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3. New Zealand Calendar Public Holidays.

   Add New Zealand as an option in calendar to add public holidays.

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4. Lumo is great at Math, but bad at Latex!

   I am finding that Lumo is shockingly good at the type of math I do, professionally.
   I am seriously thinking about buying the Lumo+ extension.

   However it is very frustrating, at times, by the way it handles Latex in its answers.

   1) Sometime the latex expression is not properly displayed as math, but just as a bunch of code. The latter is of course hard(er) to parse.

   2) When asked to produce latex code, the output is often buggy and contains nonstandard unicode symbols. It rarely compiles out of the box.

   3) When asked to produce small latex code (to be copy/pasted), it displays it as math and it's hard to copy paste. I have found that I can fix this by asking Lumo to wrap the latex code between ``` symbols, so that it is displayed as code in the Markdown-compatible chat.

   I am finding that Lumo is shockingly good at the type of math I do, professionally.
   I am seriously thinking about buying the Lumo+ extension.

   However it is very frustrating, at times, by the way it handles Latex in its answers.

   1) Sometime the latex expression is not properly displayed as math, but just as a bunch of code. The latter is of course hard(er) to parse.

   2) When asked to produce latex code, the output is often buggy and contains nonstandard unicode symbols. It rarely compiles out of the box.

   3) When asked to produce small latex code (to… more

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5. Why High-Performance Brazilian Mobile Proxies Are Essential ?

   As the digital world continues to evolve, businesses and professionals who work with Brazil-based online platforms are facing new challenges. Whether you’re a marketer running localized campaigns, an agency managing client accounts, a developer testing geo-restricted apps, or an e-commerce operator monitoring competitors—access to reliable, fast, and authentic Brazilian IP addresses is more important than ever.

   This is where Brazilian mobile proxies come into play. And among the many options available, OnlineProxy.io https://onlineproxy.io/country/brazil has emerged as one of the most trusted, secure, and high-performing providers in the market.

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6. Link to Lumo app on a F-Droid, .apk (Github)

   Since Google Play is not private, it should not be a big deal for a privacy company (Proton) to publish link to a Lumo Android .apk and a Github repository at https://lumo.proton.me/download and at https://protonapps.com (if that is official source). Also I would welcome F-Droid link.

   There is a Github repo at https://github.com/ProtonLumo/android-lumo but the parent user shows no signs of validation as a official Proton AG account, despite Lumo claims there should be some check-mark on the user page.

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7. Option to start Lumo in a floating window

   As the Android Lumo app does not support Landscape orientation, not even on large screens, it would be VERY nice to have the possibility to launch Lumo in a floating window on systems that supports it.

   On e.g. OnePlus tablets Lumo runs nicely when switching it over to a floating window that can be resized and moved around, BUT there is no way to launch Lumo so it always starts in a floating window.

   Please, add the an option in the Lumo Android app making it possible to have it request a floating window upon start.

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8. Theme

   I understand that this isn’t a priority right now, but in the long term it would be great to let Lumo have the same themes that are offered in the other Proton products (Mail, Drive..). (Lumo with Ebony would be beautiful 😍​)

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9. Let the cat learn to speak!

   Add an option where the cat starts reading the answer aloud through the speaker when we enter the message via microphone. This has the small effect of allowing children to grow up with AI in a privacy-compliant manner and give free rein to their imagination, developing stories that the cat can then read aloud. The cat can already write and develop stories, but it still can't read.

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10. Private Lumo App Store for sharing & monetizing custom “MyLumos” (GDPR-safe alternative to GPT Store)

    Hi Proton Team and Community,

    first of all, thank you for creating Lumo — a privacy-first AI assistant that finally allows European users and businesses to use AI without compromising confidentiality or GDPR compliance. Proton has solved the fundamental problem that all other AI platforms struggle with: trust.

    Now that Lumo exists, I would like to propose the next major step:

    ➡️ A Private Lumo App Store for creating, sharing, and monetizing custom “MyLumos”.

    Just like OpenAI has custom GPTs (and a GPT Store), Proton could offer a secure and encrypted alternative — fully compliant, private, and built inside the Proton ecosystem.

    ---

    1. What this feature would enable

    Users could create their own AI assistants (“MyLumos”) — for example:

    • productivity assistants
    • privacy-focused advisors
    • business workflow helpers
    • educational bots
    • interactive story or game bots
    • niche expert assistants in specific fields

    …and then share them securely with:

    • the entire Proton community,
    • selected groups,
    • teams within a business,
    • or even privately via Proton Drive.

    All without leaving the Proton environment and without any data ever going to third parties.

    This would be the first truly GDPR-compliant AI app ecosystem, something no US-based provider can offer today.

    ---

    2. Why Proton is the perfect place for this

    Other platforms store user chats on US servers, often unencrypted, often used for training, and not protected against government access. This makes serious use cases (business, legal, financial, medical) impossible.

    Lumo is already the solution:

    • End-to-end encrypted
    • No server-side logs
    • Not used for model training
    • Runs in EU-based infrastructure
    • Built by a privacy-focused, community-funded organization

    A Lumo App Store would expand this into a full secure AI ecosystem for Europe.

    ---

    3. Monetization (optional for creators)

    To motivate creators and allow quality apps to thrive, Proton could offer:

    Option A: Ad-supported free usage

    Creators can enable a small, privacy-friendly ad banner (no tracking, no profiling).
    Revenue is shared between Proton and the creator.

    Option B: Remove ads

    Users can pay a small one-time fee or subscription to unlock ad-free usage.
    Pricing is set by the creator.

    This creates a win-win-win situation:

    • Proton receives sustainable income (without surveillance)
    • Creators are rewarded for their work
    • Users can choose between free or premium

    All inside a privacy-respecting system.

    ---

    4. Why this matters

    This would give Europe its first:

    • privacy-first AI marketplace
    • GDPR-compliant platform for business AI
    • safe space for sharing creative and educational AI tools
    • secure alternative to OpenAI’s GPT Store
    • environment where users don’t have to fear data extraction or third-party access

    As a creator myself (building tools like interactive privacy games and business assistants), I would immediately move everything to Proton Lumo if such a store existed — especially for sensitive applications that cannot run on OpenAI for compliance reasons.

    ---

    5. Final statement

    A private Lumo Store would make Proton the leading AI platform for privacy-conscious users, European companies, and creators. It would fill the gap where all other AI platforms fail:
    Privacy, compliance, trust, and transparency.

    I truly believe this could become one of Proton’s most impactful innovations — and I would love to support and contribute to it.

    Thank you for considering this idea!
    Proton + Lumo + Community = 🚀

    Hi Proton Team and Community,

    first of all, thank you for creating Lumo — a privacy-first AI assistant that finally allows European users and businesses to use AI without compromising confidentiality or GDPR compliance. Proton has solved the fundamental problem that all other AI platforms struggle with: trust.

    Now that Lumo exists, I would like to propose the next major step:

    ➡️ A Private Lumo App Store for creating, sharing, and monetizing custom “MyLumos”.

    Just like OpenAI has custom GPTs (and a GPT Store), Proton could offer a secure and encrypted alternative — fully compliant, private, and built inside… more

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11. Sensitive‑Data Confirmation for Feedback

    Problem

    When users give a thumbs‑up/down on a response, the associated snippet (including any code or text shown) is sent for anonymous analysis. If the snippet unintentionally contains sensitive information (IP addresses, ports, encryption keys, hashes, credentials, etc.), that data could be transmitted without the user’s explicit consent.

    Proposed Solution

    Add a post‑feedback check that scans the rated snippet for patterns that look like sensitive data. If a match is found, display a prompt:

    “The content you just rated appears to contain potentially sensitive information (e.g., IP address, key, hash). Do you want to include this data in the feedback you’re sending?”
    

    Provide three options:

    Send anyway – proceed with the normal feedback submission.
    Redact & send – automatically replace detected values with placeholders (e.g., <IP>, <KEY>).
    Cancel – abort the feedback submission so the user can edit or remove the sensitive data.
    

    Benefits

    Reduces risk of accidental leakage of confidential information.
    Gives users explicit control over what data leaves the session.
    Improves overall trust in Lumo’s privacy guarantees, especially for developers and security‑focused users who often share code snippets.
    Aligns with Lumo’s “privacy‑first” positioning without hindering valuable feedback.
    

    Implementation Notes

    Use lightweight regex patterns for common sensitive data types (IPv4/IPv6, ports, hex strings of typical key lengths, SHA hashes, JWTs, etc.).
    Allow the detection sensitivity to be toggled in settings for power users.
    Log only the user’s decision (send/redact/cancel), not the raw snippet, unless the user opts to send it.
    

    Problem

    When users give a thumbs‑up/down on a response, the associated snippet (including any code or text shown) is sent for anonymous analysis. If the snippet unintentionally contains sensitive information (IP addresses, ports, encryption keys, hashes, credentials, etc.), that data could be transmitted without the user’s explicit consent.

    Proposed Solution

    Add a post‑feedback check that scans the rated snippet for patterns that look like sensitive data. If a match is found, display a prompt:

    “The content you just rated appears to contain potentially sensitive information (e.g., IP address, key, hash). Do you want to include this data in the feedback

    … more
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12. The ability to set a permanent but editable preamble that is always considered by Lumo+ at the start and during each chat.

    I have recently moved from ChatGBT over to Lumo+ and I noticed some differences. Lumo+ under it's current configuration isn't nearly as accurate as Chat. Yes, Chat can get you up the wrong tree at times, but not as much as Lumo. One thing that I think that helped with Chat is the the ability to create a general header for how I wanted Chat to operate which included instructions about accuracy, depth, reply style, and whether to resort to the web to get latest information about softwre updates on things like Home Assistant and Raspberry Pi. With Chat I could have a standing request to go deeper and consider more references before making an answer giving links to where it got it's information.
    I made the mistake of asking Lumo how to send feedback and it got it all wrong. I really don't want an AI that just makes things up.

    I have recently moved from ChatGBT over to Lumo+ and I noticed some differences. Lumo+ under it's current configuration isn't nearly as accurate as Chat. Yes, Chat can get you up the wrong tree at times, but not as much as Lumo. One thing that I think that helped with Chat is the the ability to create a general header for how I wanted Chat to operate which included instructions about accuracy, depth, reply style, and whether to resort to the web to get latest information about softwre updates on things like Home Assistant and Raspberry Pi. With Chat I… more

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13. I want to be able to use Lumo using the latest Firefox Extended Support Release (ESR) version

    I want to be able to use Lumo using the latest Firefox Extended Support Release (ESR) version, so that I can continue to use Lumo on my company notebook that does not support other browser brands.

    Since yesterday (1 Nov 2025) I receive a message that says "Unsupported browser". There has been no communications to inform us that the Firefox Extended Support Release (ESR) version will no longer be supported. Our browser version is fully up-to-date, at the time of writing it is 115.29.0 Firefox ESR October 14, 2025 and no newer version of Firefox ESR has been released at this point.

    Therefore we urgently request this browser to be supported, in conformity with what has also been stated in the following page, where it is explicitly mentioned that Firefox is supported and even recommended:

    https://proton.me/support/recommended-browsers

    Please act with urgency! Thank you.

    I want to be able to use Lumo using the latest Firefox Extended Support Release (ESR) version, so that I can continue to use Lumo on my company notebook that does not support other browser brands.

    Since yesterday (1 Nov 2025) I receive a message that says "Unsupported browser". There has been no communications to inform us that the Firefox Extended Support Release (ESR) version will no longer be supported. Our browser version is fully up-to-date, at the time of writing it is 115.29.0 Firefox ESR October 14, 2025 and no newer version of Firefox ESR has been released at… more

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14. 2) Lumo Actions

    Lumo should be able to take cross-platform actions across the web, but the user should be in control at all times.

    Next post: https://protonmail.uservoice.com/forums/932842-lumo/suggestions/50637320-3-lumo-research

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15. Lumo on Signal

    As a privacy‑focused user who uses Signal for my everyday ongoing conversations, I want to be able to converse with Lumo directly within the Signal app like I do with my other contacts, so that my interactions stay seamless, feel less fragmented, and make it easier for me to rely on Lumo’s assistance without juggling separate apps or websites.

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16. Custom shortcut/alias/abbreviation for a frequently used queries/prompts

    It happens that your Lumo question is long and used repeatedly while minor part of the question is variable. For example:
    Translate "string here" to spanish.

    Instead of needing to always write this sentence, i would like to setup custom shortcut, for example:
    t2sp paste here the phrase i would like to translate to spanish

    There would have to be some page, where i can manage all shortcuts (search/filter, sort). And it should not require learning/remembering any complicated syntax. Intuitive, layman friendly.

    ---

    Similar feature request: https://protonmail.uservoice.com/forums/932842-lumo/suggestions/50578022-lumo-system-prompt

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17. Answers on Top instead of Bottom

    I would like to suggest, for answers to appear on top of a thread instead on the bottom. Instead of scrolling through the history from top to bottom, new answers appear on top. Should I want to reread the hlstory I can do so top to bottom Especially for longer threads that you would like to continue it would be more helpful.

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18. Remember to Show or Hide a Calendar Per Calendar View

    Remember to separately hide or show a calendar per view type (e.g., days, weeks, months, etc.). For example, a daily tasks calendar is hidden by the user from the month and week views (because its events take too much space) but shows the daily tasks events on the day view automatically.

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19. Lumo system prompt

    When I ask Lumo for help, I have to always give instructions how it should respond, otherwise it may generate an undesired huge response for rather simple questions. Having an ability to predefine a system prompt to influence this behaviour is in my opinion a required feature. This feature could be also expanded to have several system prompts to choose from at the beginning of a conversation.

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20. Lumo Client (or API) with secure local execution of Lumo‑generated Python graphical output

    When users request visualizations, Lumo frequently replies with Python code snippets (e.g., matplotlib graphics). Users can copy‑paste the code into their own environment to render the graphics.

    It would be interesting to have some kind of Lumo‑Python bridge that delivers the generated Python code to a local client. The client runs the code in a sandboxed, offline Python/IPython/Jupyter/... session and returns the rendered image directly to the chat.

    This would look like a local client chat application communicating with proton servers, able to execute Lumo-generated Python code on the user’s machine. No data leaves the device, preserving confidentiality and complying with privacy‑first principles, and a sandboxed Python would prevent from possible side-effect. Users would then be able to get visual answers from Lumo in both an efficient and private way.

    This may be implemented as an independent client app, or (maybe even better) as an OS-agnostic jupyter kernel for taking advantage of the notebook interface (with something that would be essentially a notebook-integrated Python API to Lumo).

    When users request visualizations, Lumo frequently replies with Python code snippets (e.g., matplotlib graphics). Users can copy‑paste the code into their own environment to render the graphics.

    It would be interesting to have some kind of Lumo‑Python bridge that delivers the generated Python code to a local client. The client runs the code in a sandboxed, offline Python/IPython/Jupyter/... session and returns the rendered image directly to the chat.

    This would look like a local client chat application communicating with proton servers, able to execute Lumo-generated Python code on the user’s machine. No data leaves the device, preserving confidentiality and complying… more

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