See examples of innovation from successful companies of all sizes and from all industries
Microsoft Azure Data Manager for Agriculture
Azure Data Manager for Agriculture extends the Microsoft Intelligent Data Platform with industry-specific data connectors and capabilities to bring together farm data from disparate sources, enabling organizations to leverage high quality datasets and accelerate the development of digital agriculture solutions
Build, manage, and continuously deliver cloud apps—with any platform or language
Analyze images, comprehend speech, and make predictions using data
Simplify and accelerate your migration and modernization with guidance, tools, and resources
Gather, store, process, analyze, and visualize data of any variety, volume, or velocity
Bring the agility and innovation of the cloud to your on-premises workloads
Connect, monitor, and control devices with secure, scalable, and open edge-to-cloud solutions
Help protect data, apps, and infrastructure with trusted security services
Reach more customers—sell directly to over 4M users a month in the commercial marketplace
Azure Kinect is a cutting-edge spatial computing developer kit with sophisticated computer vision and speech models, advanced AI sensors, and a range of powerful SDKs that can be connected to Azure cognitive services.
Using Azure Kinect, manufacturing, retail, healthcare, and media enterprises are leveraging spatial data and context to enhance operational safety, increase performance, improve outcomes, and revolutionize the customer experience.
Use computer vision to track and monitor exercise movements and overall form. Create a smart gym experience that can enhance results, or an accessible and effective virtual rehabilitation solution.
Pair real-time depth sensor data with AI-driven insights. Prevent and mitigate potential patient accidents and injuries in care environments with predictive alerts.
Use advanced body tracking to monitor and analyze worker movement and behavior. Design safer, more ergonomic workstations that can mitigate long-term injury risk while improving productivity through task analysis and process optimization.
Pair real-time depth sensor data with cognitive services for AI-driven part identification and real-time anomaly detection. Monitor assembly line workers to catch part or process issues right away for a just-in-time fix.
Add computer vision and speech capabilities to smart signage. Transform smart signage into interactive, personalized kiosks that can enhance brand engagement.
Use depth sensing to capture high-quality volumetric video for use in interactive 3D environments. Leverage 3D volumetric video for cutting-edge immersive storytelling, delivered through interactive XR experiences.
Use dimensional analysis to maximize transport storage space and optimize shipping logistics. Move from pre-defined delivery routes to real-time routes based on inventory analysis and subsequent last-mile efficiency.
Create a connected retail experience by mapping and monitoring retail stores in real-time. Gain actionable customer insights and create alerts leveraging spatial data.
Use depth sensing to automate depalletization and palletization processes. Streamline repetitive tasks like stripping down a pallet to improve productivity while optimizing storage space in smart ways.
Mobilize robot workers with spatial data. Automate new tasks by bringing robots into human spaces, from picking online orders and tracking shelf inventory to maintaining the spatial data of digital twin models.
1-MP depth sensor with wide and narrow field-of-view (FOV) options that help you optimize for your application
7-microphone array for far-field speech and sound capture
12-MP RGB video camera for an additional color stream that’s aligned to the depth stream
Accelerometer and gyroscope (IMU) for sensor orientation and spatial tracking
External sync pins to easily synchronize sensor streams from multiple Kinect devices
Raw sensor access to depth camera, RGB camera, accelerometer and gyroscope, plus device-calibration data and synchronization control.
Expose instance segmentation, and both observed and estimated 3D joints and landmarks for fully articulated, uniquely identified body tracking of multiple skeletons.
Gain access to advanced algorithms for processing images and returning information such as optical character recognition (OCR) or image categorization.
Azure Kinect DK doesn’t have onboard compute; pair it with your choice of PC, from screenless to desktop workstation. The system requirements are Windows® 10 PC or Ubuntu 18.04 LTS with 7th Generation Intel® Core™ i3 Processor (Dual Core 2.4 GHz with HD620 GPU or faster), USB 3.0 port, and 4 GB RAM. It’s not available on Windows 10 in S mode. Body tracking and other experiences may require more advanced PC hardware.
