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Mike George, 02/17/2025To better protect themselves, many cyclists are starting to ride with cameras mounted to the front or back of their bicycle. In this blog post, I will demonstrate a machine learning solution that cyclists can use to better identify close calls. The architecture of the solution uses Amazon Rekognition to detect vehicles in recorded bike ride videos. It then analyzes the video to determine if any vehicles are passing too close to the cyclist, within the 3-foot safe distance required by law. The solution automatically generates video clips of these dangerous passing events, which can then be shared with authorities to help improve cyclist safety.
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Gregory Dismond, 02/13/2025Are you an Artist or Technical Director (TD) who’d like to streamline the process of defining and submitting jobs to your render farm? This blog describes how to use Open Job Description (OpenJD) to customize the Amazon Web Services (AWS) Deadline Cloud integrated submitters, and concludes with a code sample of a custom submitter written [...]
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Ray Balhorn, Kevin Kandhai, 02/12/2025Sending video long distances can be challenging without a clear understanding of how your packets get from point A to point B. It also requires robust networking, sufficient bandwidth, and efficient encoding and delivery hardware. We will outline the best practices and troubleshooting techniques required to operate reliable transport using secure reliable transport (SRT) and [...]
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Nuno Quental, 02/06/2025As media content continues to grow in complexity and volume, many organizations find themselves seeking more scalable and cost-effective transcoding solutions. To combat these challenges consider Amazon Web Services (AWS) Elemental MediaConvert (MediaConvert), a powerful service that addresses the evolving needs of video processing professionals. If you’re currently using Amazon Elastic Transcoder (Elastic Transcoder), you’ll [...]
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Raúl Mansilla, 01/30/2025This blog was coauthored by Emili Planas, CTO and Operations Manager at Grup Mediapro and Isaac Bergadà, Virtual Production Lead Manager at Grup Mediapro. The Media & Entertainment industry is undergoing a significant shift. Within this landscape, virtual production has gained significant traction. Mediapro Virtual Production embarked on a challenging journey to harness the power [...]
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Josh Hart, Jamie Mullan, 01/28/2025This blog was coauthored by Mun Wai Kong, CTO, Grabyo and Isaac Martin, VP Engineering, Grabyo. Live cloud production requires the lowest latency possible to deliver a smooth experience for content producers. Receiving a high quality, jitter-free reference stream is crucial to providing timely edits and ensuring a high-quality end-viewer experience in sports event, live [...]
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Morris Pyle, Rama Krishna Nagulakonda, Vijay Konda, 01/24/2025Businesses in the media industry often have supply chain systems where their upstream vendors (such as content creators or production companies) receive and ingest large media files. These media files come in a variety of file formats, and the individual file sizes often reach hundreds of gigabytes in size. After the media files are ingested [...]
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Thomas Edwards, Marlon Campos, Chris Zhang, 01/22/2025Traditional multi-camera production is performed with on-premises recorders and editing systems, requiring fixed cost equipment investment, and lacking the flexibility of the cloud. Grass Valley AMPP, together with Amazon FSx for Windows File Server, lets you carry out efficient “live to tape” multi-camera workflows where your editors can perform their job from any location using [...]