SKU: 90676639493

Blackmagic Micro Studio Camera 4K G2 (Body Only)

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Description

Blackmagic Micro Studio Camera 4K G2 (Body Only)Blackmagic Micro Studio Camera 4K G2 is an amazing, broadcast quality live production camera in a tiny body. The Four Thirds sensor has 13 stops of dynamic range, incredible low light performance and produces stunning Ultra HD images in all lighting conditions. 12G SDI Micro BNC connectors support 10 bit uncompressed video up to 2160p60 and 2 channel audio on the output. The input supports tally, camera control, control of the built in color corrector

Blackmagic Micro Studio Camera 4K G2 is an amazing, broadcast quality live production camera in a tiny body. The Four Thirds sensor has 13 stops of dynamic range, incredible low light performance and produces stunning Ultra HD images in all lighting conditions. 12G-SDI Micro BNC connectors support 10-bit uncompressed video up to 2160p60 and 2 channel audio on the output. The input supports tally, camera control, control of the built-in color corrector plus lens control, from an ATEM switcher. Or when using an ATEM Mini switcher, the HDMI connector will output 1080 and support all control features. Plus it's even a Hollywood quality cinema camera because it can record Blackmagic RAW to external USB-C drives. With multiple mounting points, place Blackmagic Micro Studio Camera 4K G2 where no other camera will go!


Camera Features

Effective Sensor Size

17.78mm x 10mm (Four Thirds)

Lens Mount

Active MFT Mount.

Lens Control

Iris, focus, zoom on supported lenses.

Dynamic Range

13 Stops.

Dual Native ISO

0dB and 18dB gain.

Sensitivity at 0dB Gain

f11 with 2160p59.94.

f12 with 2160p50.

at 2,000 lux with 89.9% reflectance.

Signal to Noise Ratio

63dB for 2160p.

Shooting Resolutions

3840 x 2160 (Ultra HD) up to 60 fps.

Frame Rates

23.98, 24, 25, 29.97, 30, 50, 59.94 and 60 frames per second.

Off-speed frame rates up to 60 fps in Ultra HD.

Focus

Auto focus available using compatible lenses.

Mounting Options

1 x 1/4 inch (top),

3 x 1/4 inch (bottom).

Connections

SDI Video Inputs

1

SDI Video Outputs

1

SDI Rates

3G, 6G, 12G.

HDMI 2.0 Video Outputs

1

HDMI Video Outputs

1 x HDMI Type A output.

HDMI output is always HD, up to 1080p60.

Analog Audio Input

1 x 3.5mm Stereo Input. Can also be used for Timecode input.

Reference Inputs

Program SDI Input on camera or on Blackmagic Studio Converter.

SDI Audio Output

2 channels of program audio embedded in 3G/6G/12G-SDI.

HDMI Audio Outputs

2 channels 48 kHz and 24‑bit.

Remote Control

Remote camera control over SDI, HDMI or USB Ethernet with suitable adapter.

Computer Interface

1 x USB Type‑C 3.1 Gen 1 (up to 5Gb/s) expansion ports for external recording and focus / zoom demand connection. Software updates using USB‑C Port.

Audio

Microphone

Integrated stereo microphone.

Built in Speaker

None

Standards

SD Video Standards

None

HD Video Standards

1080p23.98, 1080p24, 1080p25, 1080p29.97, 1080p30, 1080p50, 1080p59.94, 1080p60
1080i50, 1080i59.94, 1080i60

Ultra HD Video Standards

2160p23.98, 2160p24, 2160p25, 2160p29.97, 2160p30, 2160p50, 2160p59.94, 2160p60

SDI Compliance

SMPTE 292M, SMPTE 424M, SMPTE 425M level A and B, SMPTE 2081‑1, SMPTE 2081‑10, SMPTE 2082‑1 and SMPTE 2082‑10.

SDI Audio Sampling

Television standard sample rate of 48 kHz and 24‑bit.

Media

Media

1 x USB-C 3.1 Gen 1 expansion ports for external media for recording Blackmagic RAW.

Media Format

Can format media to ExFAT (Windows/Mac) or HFS+ (Mac) file systems.

Supported Codecs

Codecs

Blackmagic RAW Constant Bitrate 3:1,
Blackmagic RAW Constant Bitrate 5:1,
Blackmagic RAW Constant Bitrate 8:1,
Blackmagic RAW Constant Bitrate 12:1,
Blackmagic RAW Constant Quality Q0,
Blackmagic RAW Constant Quality Q1,
Blackmagic RAW Constant Quality Q3,
Blackmagic RAW Constant Quality Q5

Storage Features

Storage Type

1 x USB‑C 3.1 Gen 1 expansion ports for external media.

Recording Formats

Blackmagic RAW 3:1, 5:1, 8:1, 12:1, Q0, Q1, Q3 and Q5 in Ultra HD 3840 x 2160 at the selected frame rate.

Storage Rates

Storage rates based on 30 frames per second.

3840 x 2160 (Ultra HD)

Blackmagic RAW 3:1 - 127 MB/s
Blackmagic RAW 5:1 - 77 MB/s
Blackmagic RAW 8:1 - 48 MB/s
Blackmagic RAW 12:1 - 32 MB/s
Blackmagic RAW Q0 - 96 to 190 MB/s
Blackmagic RAW Q1 - 64 to 153 MB/s
Blackmagic RAW Q3 - 43 to 109 MB/s
Blackmagic RAW Q5 - 26 to 64 MB/s

Constant Quality storage rates quoted are indicative only.

Actual storage rates are entirely dependent on image subject matter.

Control

Control

5 control buttons including Set, Up, Down, Menu, and Power.

External Control

Blackmagic Zoom Demand and Blackmagic Focus Demand for controlling your camera and lens from tripod handles.

Blackmagic Control Protocol over SDI and HDMI for external control when used with a compatible ATEM switcher with ATEM Software Control or ATEM Camera Control Panel. Includes control of some camera settings, focus, iris and zoom with compatible lenses, color corrector, tally and record start and stop to external media via USB expansion port.

Camera Control REST API over USB Ethernet for external control via HTTP when used with REST client applications such as Postman.

Network Management

NTP

Network time protocol support allows you to sync the time on your camera, whenever connected to a network with any NTP server of your choice.

Web Media Manager

Using a browser connected over Ethernet, web media manager allows you to access, browse, download and delete files from any drive connected to the camera.

FTP

Download files from any drive attached to your camera using FTP.

SMB

File sharing using SMB.

Color Corrector

DaVinci YRGB

Tally

Live Tally Indicator

1 x front facing for talent.

Software

Software Included

Blackmagic Camera Setup for Mac and Windows.

Operating Systems

Mac 12.0 Monterey,
Mac 13.0 Ventura or later.

Windows 10, 64-bit.
Windows 11, 64-bit.

Power Requirements

Power Supply

1 x External 12V DC 36W power supply.

Power Inputs

1 x 12V DC locking 5.5 mm barrel connector.

Power Usage

18 ‑ 25 W.

Optional Accessories

Blackmagic Focus Demand

Blackmagic Zoom Demand

ATEM Mini switchers

ATEM SDI switchers

ATEM Television Studio switchers

ATEM Constellation switchers

Blackmagic Video Assist

LP-E6 Battery

Micro BNC Cables

Physical Specifications
Environmental Specifications

Operating Temperature

0° to 40° C (32° to 104° F)

Storage Temperature

-20° to 45° C (-4° to 113° F)

Relative Humidity

0% to 90% non-condensing

What's Included

Blackmagic Micro Studio Camera 4K G2

Turret dust cap

External 12V DC power supply with locking connector and international socket adapters for most countries.

Welcome wallet with QR code for software download

Warranty

12 Month Limited Manufacturer’s Warranty.

Shipping Notes
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SKU: 90676639493

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4.7 ★★★★★
Based on 19 reviews
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Product Reviews
W
Verified Purchase
WU.
Omaha, US
★★★★★ 4
Good overview of the leading Agentic Framework. Will become outdated quickly.
Format: Paperback
3.5 Stars rounded up. Not a bad place to start if you need to get up to speed fast with Claude Code, understand its vast feature set, how it works under the hood, best practices, and the various agent primitives and how to get the most out of them. Agentic frameworks (Claude Code in particular) are quickly becoming table stakes for anyone working in tech, so it's best to start now. I appreciated the author's ability to flesh out areas where Anthropic's documentation is lacking in depth and nuance, and for some not already working with Claude in their own repos, the fact that he provides "toy" repos where one can experiment with the tools without fear of consequence. Where the book falls short is that most of the stuff in here is already covered pretty well already in Anthropic's docs, or even better so in their free "Skilljar" courses. What's more, some areas are given a bit of a shallow treatment, while others are a bit better done. So it's a bit inconsistent in that sense. Also, I can see how this book will quickly lose its currency in a few months at the pace things are going. Ultimately, for me, the price of this book was a bit rich for my liking given the criticisms above. Still, I feel like I got valuable info that rounded up what I already knew from working with this agentic framework. Recommended.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 28, 2026
B
Brahmananda Reddy
Dallas, US
★★★★★ 5
Practical AI Engineering Beyond Prompts — One of the Better Books on Agentic Coding
Format: Paperback
This book is not another “AI coding hype” book. A lot of books talk about agents at a very high level. This one actually explains how things work when you try to use them inside real development workflows. That was the biggest difference for me. What I liked most was the focus on context engineering, memory, MCP, hooks, subagents, and workflow orchestration instead of just “prompt better.” The author spends time explaining why long-running agent systems fail, how context grows over time, and why most AI coding setups become messy without structure. The examples also feel practical — The HookHub project, Next.js setup, GitHub workflows, Claude memory files, and MCP integrations make it easier to connect theory with actual implementation. From my retail domain experience perspective, I could immediately connect this to forecasting and pricing workflows. For example: * agents helping analysts generate specs before model development * automated code review for promo forecasting pipelines * isolated subagents for pricing, promotions, assortment * persistent memory for business rules across teams * MCP integrations to pull context from internal systems safely The section around context isolation and subagents especially stood out because that is very similar to how enterprise forecasting teams already operate in reality. Different teams own different decision spaces. One thing I appreciated: the author does not oversell AI. There is a strong focus on constraints, context pollution, hallucinations, performance degradation, and workflow reliability. That makes the book feel grounded instead of marketing-heavy. This is not for complete beginners though. If someone has never worked with Git, APIs, coding agents, or LLM workflows, parts of the book may feel overwhelming early on. The author clearly says this is not beginner-level content. Overall, probably one of the more practical books I have read recently on agentic coding systems. Good for: * software engineers * AI engineers * enterprise architecture teams * technical product teams * analytics leaders trying to operationalize AI development workflows Especially useful if your organization is trying to move from “AI demos” into actual production workflows.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 20, 2026
U
UA
Alexandria, US
★★★★★ 5
A Good Reality Check on How AI Agents Actually Work in Enterprise Systems
Format: Paperback
Most AI books stop at prompts. This one goes deeper into how agent systems actually behave once you try to use them inside large workflows with memory, tools, permissions, automation, and multiple agents working together. That part felt very relevant for healthcare and enterprise environments. The book does a good job explaining why context engineering matters and how poor context handling creates hallucinations, inconsistent outputs, and degraded performance over time. Honestly, that is one of the biggest problems organizations underestimate right now. In healthcare workflows, context matters a lot: * prior interactions * business rules * auditability * escalation logic * safety constraints * tool permissions * workflow boundaries The sections on persistent memory, scoped context, subagents, and structured workflows connected strongly to that reality. I work in enterprise analytics, and while reading this book I kept thinking about use cases like: * pharmacy workflow automation * prior authorization support systems * coding assistants for healthcare engineering teams * AI copilots for operational analytics * agent-based escalation systems * claims and workflow orchestration The MCP chapters were also useful because they explain integration challenges clearly instead of treating tooling as magic. What made this book stand out for me was the balance between implementation and architecture. The author explains: * why long contexts fail * how context poisoning happens * why isolation matters * when parallel agents help * when they actually create more complexity That level of honesty is missing in many AI books right now. Another thing: the examples are not overly academic — The Next.js project setup, GitHub automation, Claude desktop workflows, memory systems, hooks, and subagents make the learning process feel practical and hands-on. One limitation: this book assumes technical background. Someone completely new to coding agents, LLMs, Git, or development workflows may struggle in the first few chapters. But for engineers, AI teams, enterprise architects, and technical leaders trying to understand where agentic coding is actually going, this book is worth reading. Especially for organizations trying to operationalize AI safely instead of just experimenting with chatbots.
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Reviewed in the United States on May 20, 2026
C
Christopher West
Waukegan, US
★★★★★ 5
Great book! Practical and for developers that already use AI!
Format: Paperback
I purchased "Agentic Coding" by Claude Code due to my desire for an alternative to generic "Prompt Template" type resources related to AI-based development. This book accomplishes just that. As opposed to merely viewing Claude Code as a "magic box", the author has explained how to utilize it in conjunction with other actual development processes. The authors' emphasis on "context engineering" (i.e., structuring data/information; managing knowledge in a project; guiding an AI agent to produce consistent results vs. producing random/unknown results) represents the strongest component of the book. It should be noted that the book appears to be intended primarily for experienced developers with prior experience in software development and/or familiarity with AI-based development tools. Should you be familiar with Git, the command-line interface, and/or modern development processes, you may find this resource very helpful. Conversely, I did appreciate the fact that there were no novice-oriented descriptions provided throughout the book. The aspect of the book that I found most valuable, however, is the extremely pragmatic nature of the material contained within. The examples illustrated through developing/maintaining CLAUDE.md files; utilizing Claude Code in combination with GitHub Workflows; employing MCP Servers; and creating multi-agent or sub-agent workflows all seemed to reflect a clear focus on "real world usage" rather than theoretical constructs. In addition, each chapter builds upon previous chapters in such a manner as to provide a logical progression through which the reader can easily understand and ultimately implement the concepts learned. I also appreciated that the author included guidance on responsible utilization of the tool(s), as well as maintaining control over what changes are made by the agent. While numerous books regarding AI focus solely on what AI tools can accomplish, this book addresses both how to utilize these tools effectively in a real codebase, as well as responsibility and safety considerations. In summary, this is not a book for individuals completely inexperienced in either programming or generative AI. However, if you are currently experimenting with tools such as Claude, Cursor, GitHub Actions, or MCP, this is likely one of the more useful and practical books available on the subject. Recommended for software engineers seeking to transition from simply "prompting an AI" into establishing a repeatable/professional workflow process surrounding agentic coding.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2026
P
Paul Pollock
Omaha, US
★★★★★ 4
⭐⭐⭐⭐ (so far)
Format: Paperback
I'm maybe a third of the way through this and already rethinking how I talk to coding agents. The reframe from "prompt engineering" to "context engineering" sounds like semantics until Marco walks you through why context poisoning, context clash, the Goldilocks zone for system prompts. That chapter alone reorganized something in my head. I keep going back to the line about garbage in, garbage out being the real reason agentic systems underperform. The hands-on stuff lands well too. Building the HookHub project from scratch, wiring up Playwright MCP, watching Claude generate a CLAUDE.md file and then not automatically loading a memory file you just created — that moment where you expect magic and get silence instead? That's the kind of honest teaching I appreciate. It made the "why" behind memory hierarchies click.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 12, 2026

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