home.social

#omnivision — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #omnivision, aggregated by home.social.

fetched live
  1. OmniVision, Sony'ye rakip 200 MP kamera sensörü OVB0D'yi tanıttı! Mobil fotoğrafçılıkta yeni bir dönem başlıyor. Akıllı telefon kameralarında rekabet kızışıyor.

    🚩 #OmniVision #KameraSensörü #200MP #MobilTeknoloji #AkıllıTelefon

  2. Life and Death of a Panasonic 4-head stereo VCR (and lots of info about Panasonic VCRs)

    makertube.net/w/hSoN6UCRgTRWZZ

  3. Life and Death of a Panasonic 4-head stereo VCR (and lots of info about Panasonic VCRs)

    makertube.net/w/hSoN6UCRgTRWZZ

  4. I'm looking for a CMOS camera sensor for a FOSH project. I'm just looking for a surface mount chip without the lens.

    It looks like two big brands are onsemi and omnivision. I've applied for NDA access to the datasheets, but I'm wondering if there are good options with open specs? How do people generally release FOSH based on chips with NDA specs?

    I've gotten the OV7670 prototype boards configured using I2C and I can read frames out using the parallel interface.

    Parallel interfaces are easy. Many cameras now have MIPI interfaces. Is it easy to read MIPI data? I am planning to use an FPGA to read the camera data, so although parallel would be easiest, I imagine there could be a MIPI Vertilog 2005 implementation that I could compile to run in my FPGA?

    #foss #fosh #camera #sensor #camerasensor #fpga #mipi #onsemi #omnivision #cmossensor

  5. I'm looking for a CMOS camera sensor for a FOSH project. I'm just looking for a surface mount chip without the lens.

    It looks like two big brands are onsemi and omnivision. I've applied for NDA access to the datasheets, but I'm wondering if there are good options with open specs? How do people generally release FOSH based on chips with NDA specs?

    I've gotten the OV7670 prototype boards configured using I2C and I can read frames out using the parallel interface.

    Parallel interfaces are easy. Many cameras now have MIPI interfaces. Is it easy to read MIPI data? I am planning to use an FPGA to read the camera data, so although parallel would be easiest, I imagine there could be a MIPI Vertilog 2005 implementation that I could compile to run in my FPGA?

    #foss #fosh #camera #sensor #camerasensor #fpga #mipi #onsemi #omnivision #cmossensor

  6. I'm looking for a CMOS camera sensor for a FOSH project. I'm just looking for a surface mount chip without the lens.

    It looks like two big brands are onsemi and omnivision. I've applied for NDA access to the datasheets, but I'm wondering if there are good options with open specs? How do people generally release FOSH based on chips with NDA specs?

    I've gotten the OV7670 prototype boards configured using I2C and I can read frames out using the parallel interface.

    Parallel interfaces are easy. Many cameras now have MIPI interfaces. Is it easy to read MIPI data? I am planning to use an FPGA to read the camera data, so although parallel would be easiest, I imagine there could be a MIPI Vertilog 2005 implementation that I could compile to run in my FPGA?

    #foss #fosh #camera #sensor #camerasensor #fpga #mipi #onsemi #omnivision #cmossensor

  7. I'm looking for a CMOS camera sensor for a FOSH project. I'm just looking for a surface mount chip without the lens.

    It looks like two big brands are onsemi and omnivision. I've applied for NDA access to the datasheets, but I'm wondering if there are good options with open specs? How do people generally release FOSH based on chips with NDA specs?

    I've gotten the OV7670 prototype boards configured using I2C and I can read frames out using the parallel interface.

    Parallel interfaces are easy. Many cameras now have MIPI interfaces. Is it easy to read MIPI data? I am planning to use an FPGA to read the camera data, so although parallel would be easiest, I imagine there could be a MIPI Vertilog 2005 implementation that I could compile to run in my FPGA?

    #foss #fosh #camera #sensor #camerasensor #fpga #mipi #onsemi #omnivision #cmossensor

  8. I'm looking for a CMOS camera sensor for a FOSH project. I'm just looking for a surface mount chip without the lens.

    It looks like two big brands are onsemi and omnivision. I've applied for NDA access to the datasheets, but I'm wondering if there are good options with open specs? How do people generally release FOSH based on chips with NDA specs?

    I've gotten the OV7670 prototype boards configured using I2C and I can read frames out using the parallel interface.

    Parallel interfaces are easy. Many cameras now have MIPI interfaces. Is it easy to read MIPI data? I am planning to use an FPGA to read the camera data, so although parallel would be easiest, I imagine there could be a MIPI Vertilog 2005 implementation that I could compile to run in my FPGA?

    #foss #fosh #camera #sensor #camerasensor #fpga #mipi #onsemi #omnivision #cmossensor

  9. 中国OmniVisionもついに大判「1型」撮像素子!OV50XでソニーLYT-900に真っ向勝負、110db超えの超高ダイナミックレンジ
    smhn.info/202504-omnivision-ov
    #smhn #1型センサー #LOFIC #OmniVision #OV50X #すまほん #スマホ #スマートフォン

  10. Edge-Ready #Vision Language Model Advances Visual #AI Processing 🌟

    🧠 #OmniVision (968M params) sets new benchmark as world's smallest #VisionLanguageModel

    🔄 Architecture combines #Qwen2 (0.5B) for text & #SigLIP (400M) for vision processing

    💡 Key Innovations:
    • 9x token reduction (729 → 81) for faster processing
    • Enhanced accuracy through #DPO training
    • Only 988MB RAM & 948MB storage required
    • Outperforms #nanoLLAVA across multiple benchmarks

    🎯 Use Cases:
    • Image analysis & description
    • Visual memory assistance
    • Recipe generation from food images
    • Technical documentation support

    Try it now: huggingface.co/spaces/NexaAIDe
    Source: nexa.ai/blogs/omni-vision

  11. Edge-Ready #Vision Language Model Advances Visual #AI Processing 🌟

    🧠 #OmniVision (968M params) sets new benchmark as world's smallest #VisionLanguageModel

    🔄 Architecture combines #Qwen2 (0.5B) for text & #SigLIP (400M) for vision processing

    💡 Key Innovations:
    • 9x token reduction (729 → 81) for faster processing
    • Enhanced accuracy through #DPO training
    • Only 988MB RAM & 948MB storage required
    • Outperforms #nanoLLAVA across multiple benchmarks

    🎯 Use Cases:
    • Image analysis & description
    • Visual memory assistance
    • Recipe generation from food images
    • Technical documentation support

    Try it now: huggingface.co/spaces/NexaAIDe
    Source: nexa.ai/blogs/omni-vision

  12. Edge-Ready #Vision Language Model Advances Visual #AI Processing 🌟

    🧠 #OmniVision (968M params) sets new benchmark as world's smallest #VisionLanguageModel

    🔄 Architecture combines #Qwen2 (0.5B) for text & #SigLIP (400M) for vision processing

    💡 Key Innovations:
    • 9x token reduction (729 → 81) for faster processing
    • Enhanced accuracy through #DPO training
    • Only 988MB RAM & 948MB storage required
    • Outperforms #nanoLLAVA across multiple benchmarks

    🎯 Use Cases:
    • Image analysis & description
    • Visual memory assistance
    • Recipe generation from food images
    • Technical documentation support

    Try it now: huggingface.co/spaces/NexaAIDe
    Source: nexa.ai/blogs/omni-vision

  13. Edge-Ready #Vision Language Model Advances Visual #AI Processing 🌟

    🧠 #OmniVision (968M params) sets new benchmark as world's smallest #VisionLanguageModel

    🔄 Architecture combines #Qwen2 (0.5B) for text & #SigLIP (400M) for vision processing

    💡 Key Innovations:
    • 9x token reduction (729 → 81) for faster processing
    • Enhanced accuracy through #DPO training
    • Only 988MB RAM & 948MB storage required
    • Outperforms #nanoLLAVA across multiple benchmarks

    🎯 Use Cases:
    • Image analysis & description
    • Visual memory assistance
    • Recipe generation from food images
    • Technical documentation support

    Try it now: huggingface.co/spaces/NexaAIDe
    Source: nexa.ai/blogs/omni-vision

  14. Edge-Ready #Vision Language Model Advances Visual #AI Processing 🌟

    🧠 #OmniVision (968M params) sets new benchmark as world's smallest #VisionLanguageModel

    🔄 Architecture combines #Qwen2 (0.5B) for text & #SigLIP (400M) for vision processing

    💡 Key Innovations:
    • 9x token reduction (729 → 81) for faster processing
    • Enhanced accuracy through #DPO training
    • Only 988MB RAM & 948MB storage required
    • Outperforms #nanoLLAVA across multiple benchmarks

    🎯 Use Cases:
    • Image analysis & description
    • Visual memory assistance
    • Recipe generation from food images
    • Technical documentation support

    Try it now: huggingface.co/spaces/NexaAIDe
    Source: nexa.ai/blogs/omni-vision

  15. Just occurred to me that I could use a micro #vllm like #omnivision to automatically add #alttext to my image posts without having to manually input them. I typically use #ChatGPT to generate my alt-text anyway, and rarely have to manually edit the content. Since I own this server, I could even do it at the database level, directly modifying the content.

    Worth it? Potential pitfalls? Waste of effort?

    huggingface.co/NexaAIDev/omniv

    #mastoadmin #mastobot #bot #ai #llm

  16. Just occurred to me that I could use a micro #vllm like #omnivision to automatically add #alttext to my image posts without having to manually input them. I typically use #ChatGPT to generate my alt-text anyway, and rarely have to manually edit the content. Since I own this server, I could even do it at the database level, directly modifying the content.

    Worth it? Potential pitfalls? Waste of effort?

    huggingface.co/NexaAIDev/omniv

    #mastoadmin #mastobot #bot #ai #llm

  17. Just occurred to me that I could use a micro #vllm like #omnivision to automatically add #alttext to my image posts without having to manually input them. I typically use #ChatGPT to generate my alt-text anyway, and rarely have to manually edit the content. Since I own this server, I could even do it at the database level, directly modifying the content.

    Worth it? Potential pitfalls? Waste of effort?

    huggingface.co/NexaAIDev/omniv

    #mastoadmin #mastobot #bot #ai #llm

  18. Just occurred to me that I could use a micro #vllm like #omnivision to automatically add #alttext to my image posts without having to manually input them. I typically use #ChatGPT to generate my alt-text anyway, and rarely have to manually edit the content. Since I own this server, I could even do it at the database level, directly modifying the content.

    Worth it? Potential pitfalls? Waste of effort?

    huggingface.co/NexaAIDev/omniv

    #mastoadmin #mastobot #bot #ai #llm

  19. Just occurred to me that I could use a micro #vllm like #omnivision to automatically add #alttext to my image posts without having to manually input them. I typically use #ChatGPT to generate my alt-text anyway, and rarely have to manually edit the content. Since I own this server, I could even do it at the database level, directly modifying the content.

    Worth it? Potential pitfalls? Waste of effort?

    huggingface.co/NexaAIDev/omniv

    #mastoadmin #mastobot #bot #ai #llm

  20. OmniVision has revealed they were a victim of a data breach.

    The attack happened between Sept 4-30, 2023, and they were compromised by the Cactus ransomware group. Some of OmniVision's systems were encrypted, and the attackers were able to steal personal info, including passport scans, contracts and confidential documents.

    OmniVIsion is offering 24 month credit monitoring and identity theft restoration service to those affected.

    #cybersecurity #OmniVision #USA

    bleepingcomputer.com/news/secu

  21. We gotta get a LITTLE nerdy on this one!
    somegadgetguy.com/b/41R
    If you would have asked me which camera sensor manufacturer would give Sony a run for their money in 2024, I probably would.have said "Samsung".
    And I would have been wrong.
    Here's the little Xiaomi 14 going toe to toe with the ULTRA Samsung Galaxy!
    This is the kinda tech that really improves what your phone camera is capable of putting out!

    #tech #Technology #geek #bbtg #photography #youtube #video #review #samsung #xiaomi #xiaomi14 #galaxys24ultra #sony #omnivision

  22. We gotta get a LITTLE nerdy on this one!
    somegadgetguy.com/b/41R
    If you would have asked me which camera sensor manufacturer would give Sony a run for their money in 2024, I probably would.have said "Samsung".
    And I would have been wrong.
    Here's the little Xiaomi 14 going toe to toe with the ULTRA Samsung Galaxy!
    This is the kinda tech that really improves what your phone camera is capable of putting out!

    #tech #Technology #geek #bbtg #photography #youtube #video #review #samsung #xiaomi #xiaomi14 #galaxys24ultra #sony #omnivision

  23. We gotta get a LITTLE nerdy on this one!
    somegadgetguy.com/b/41R
    If you would have asked me which camera sensor manufacturer would give Sony a run for their money in 2024, I probably would.have said "Samsung".
    And I would have been wrong.
    Here's the little Xiaomi 14 going toe to toe with the ULTRA Samsung Galaxy!
    This is the kinda tech that really improves what your phone camera is capable of putting out!

    #tech #Technology #geek #bbtg #photography #youtube #video #review #samsung #xiaomi #xiaomi14 #galaxys24ultra #sony #omnivision

  24. We gotta get a LITTLE nerdy on this one!
    somegadgetguy.com/b/41R
    If you would have asked me which camera sensor manufacturer would give Sony a run for their money in 2024, I probably would.have said "Samsung".
    And I would have been wrong.
    Here's the little Xiaomi 14 going toe to toe with the ULTRA Samsung Galaxy!
    This is the kinda tech that really improves what your phone camera is capable of putting out!

    #tech #Technology #geek #bbtg #photography #youtube #video #review #samsung #xiaomi #xiaomi14 #galaxys24ultra #sony #omnivision

  25. We gotta get a LITTLE nerdy on this one!
    somegadgetguy.com/b/41R
    If you would have asked me which camera sensor manufacturer would give Sony a run for their money in 2024, I probably would.have said "Samsung".
    And I would have been wrong.
    Here's the little Xiaomi 14 going toe to toe with the ULTRA Samsung Galaxy!
    This is the kinda tech that really improves what your phone camera is capable of putting out!