- Photogram, Alice Camera: AI-Powered Camera for Smartphones
- Uniguest, 4K Encoder: Low Latency for Live Events
- Frame.io: Real-Time Logging (RTL) for Workflow Efficiency
360 Seconds. Broadcast News & Commentary is a weekly program on Youtube about the latest equipment for broadcasting and film. Explained by experts – practitioners directly working in the field of cinema and television.
Hosts: Philip Grossman, host and co-producer at Visionaries, and Ezequiel “Pax” Moore. Production – TKT1957 LLC.
Airing on June 24, 2024
Photogram, Alice Camera: AI-Powered Camera for Smartphones
Pax: After three years of development, Photogram is pleased to announce their AI-powered Alice Camera. This camera is extremely innovative, particularly regarding the AI chip by Google. It is said to perform trillions of calculations per second and references millions of professional photographs from across the Internet. This allows it to produce professionally AI-generated images directly from the camera, and it can post straight to platforms like Instagram and Facebook. What are your thoughts on this, Philip? Do you think this could be the end of professional cameras for social media?
Philip: I don’t think it’s the end of cameras for social media. I did some research on the camera. It’s interesting; the concept is not necessarily new. RED Digital Cinema had a similar concept with their Android phone, integrating it into more photographic or cinematographic interfaces. It’s interesting what they’re coming up with. The big question I have is that a lot of the information is about video on their website. They don’t really tell you how many megapixels it has; it’s a micro four-thirds sensor. The AI chips are interesting.
I think the problem we’re going to have is as more people start using these—especially influencers, at least early on—is whether it will imitate the hundreds of thousands of images it’s trained on, or if we will get new content. In general, conceptually, I like the idea of a modular-based camera. I don’t know how much it will rely on the iPhone or Android phone, or if it operates completely independently of those phones. Time will tell. This will be sort of the first. Android and Apple phones have had AI in them, and Apple specifically with their latest chipsets have the AI engine. I’ll believe it when I see it regarding its marketing and adoption.
Uniguest, 4K Encoder: Low Latency for Live Events
Pax: Uniguest has introduced a 4K edition of its Low Latency Encoder, delivering superior encoding and streaming at 4K resolution, designed for live events and communications. What do you think about this, Philip?
Philip: I honestly had not heard of the brand before. As I looked over their history, they really come out of the hospitality market, so it’s interesting to see the extension. In our industry, we typically refer to it as AV as opposed to professional broadcast video. I don’t know if it’s necessarily targeted towards the hospitality industry, but they have a name brand in that market, so I think it’s great from that perspective. They call it low latency; it’s 170 milliseconds, I believe, for their UHD, which is just over five frames, approaching six frames latency. In a live event environment, that’s pretty good for hotels, being able to offer this to their customers to stream events in a relatively low-cost way. I think it’s a great product with some industry opportunities because of the positioning of Uniguest and the market it’s in, the hospitality industry.
Frame.io: Real-Time Logging (RTL) for Workflow Efficiency
Pax: Just in the news, Frame.io has introduced Real-Time Logging (RTL), a new feature designed to streamline camera-to-cloud workflows. RTL allows users to communicate their observations about captured footage in real-time by pressing a button. Philip, what are your thoughts on this? How does this affect the industry?
Philip: Frame.io is really branching out. Initially, it was sort of review and approval, and now they’ve become a little more portfolio-like in their offerings. This is just an additional tool to help speed up that process. For those who aren’t familiar with Frame.io, camera-to-cloud means I want to shoot and start editing immediately. Typically, what happens is I shoot, it gets uploaded to the cloud, and then an individual goes in and makes comments on what’s good, what’s not good, and updates like that. This workflow now allows that user on set to start adding those comments into the clip, referred to as metadata, so that as soon as it hits the cloud, the information about whether it was a good take or not is already there. This will speed up the process, making Frame.io more valuable to the end user and what they’re able to do with the platform. I’m excited to see things like this come alive. There are other things I think they can add, so it’s good for the industry overall.
Pax: Many thanks to our expert Philip Grossman. Don’t forget to comment on the news we’ve discussed. Just let us know your thoughts. We’ll see you next Monday. Thank you and goodbye.
360 Seconds. Broadcast News & Commentary
The weekly show, focusing on the latest products and solutions in the global TV and film industry, features insights and analysis from top experts. Released every Monday within the TKT1957 network, the program can be found on the YouTube channel, social media groups, and the tkt1957.com website.
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