Microchip and Hailo: Expanding the Possibilities of Edge AI

Artificial intelligence is moving from the cloud into cameras, factories, vehicles, medical devices, robots, drones, warehouse systems and intelligent infrastructure. These applications require low latency, energy efficiency, local processing, reliable connectivity, security and software that helps developers move quickly from prototype to production.

With the acquisition of Hailo, Microchip expands its embedded-processing portfolio with specialized vision processors, edge AI accelerators and GenAI-capable technologies. Together, the companies support a broader range of solutions spanning embedded control and host processing through advanced vision, multimodal AI and high-density edge inference.

From Embedded Control to Edge Intelligence

Our embedded portfolio supports motor control, sensing, power management, safety, security, connectivity and always-on processing. Our MCUs, MPUs, DSCs and FPGA products provide host processing for edge gateways, industrial controllers and connected embedded systems.

Hailo adds complementary capabilities:

• Vision SoCs for smart cameras, surveillance, industrial vision, retail analytics and drones
• Edge AI accelerators for low-latency inference across computer vision, transformer and GenAI workloads
• High-density inference for multi-stream analytics and edge AI servers
• Developer tools for model optimization and deployment

This breadth is particularly relevant to robotics, where perception, communications, decision-making and deterministic control must operate together within tight power and latency budgets.

Accelerating Higher-End Edge Applications

The next generation of edge systems will require more than conventional object detection. Industrial equipment may need to analyze multiple camera streams, while autonomous machines must interpret sensor data and respond in real time.

Robots may need to detect obstacles, track people or objects, identify workpieces and understand their surroundings. Local inference can reduce response latency, improve privacy and help machines continue operating when network connectivity is limited.

Hailo-8 and Hailo-8L accelerators support efficient computer-vision inference for applications such as industrial AI, smart-city systems, NVR analytics and intelligent cameras. Hailo-10H extends the portfolio with broader workload support across computer vision, transformers and local GenAI workloads including Large Language Models (LLMs) and Vision Language Models (VLMs).

These capabilities can enable:

• Real-time industrial anomaly detection
• Local camera analytics without continuously transmitting video
• Robotic obstacle detection, tracking and scene understanding
• Onboard drone processing for inspection and navigation
• Multi-camera perception for autonomous machines
• Edge-based natural-language and multimodal interfaces

Edge AI performance depends not only on peak compute, but also on memory movement, bandwidth, power, latency, model optimization and software support.

Integrated Vision for Cameras, Drones and Robots

Hailo's Hailo-15 family combines neural processing with application processing, image processing, video encode and decode and camera interfaces. It is designed for smart cameras, surveillance, industrial vision, retail analytics and drone applications.

An integrated approach can simplify system design by bringing image processing, video functions, camera connectivity and AI inference into a coordinated platform. This is important in robotics and drones, where image quality and AI performance must operate together within strict thermal and power limits.

Applications can include:

• Robotic inspection and quality control
• Defect and part identification
• Object and tool tracking
• Human-machine interaction
• Drone-based inspection and monitoring
• Visual localization and navigation inputs
• Safety-zone and fleet monitoring

For mobile robots, local perception can support faster responses and reduce dependence on remote infrastructure. In industrial environments, cameras and edge systems can work together to monitor work cells, equipment and autonomous fleets.

Supporting Robotics and Autonomous Machines

Robotics systems increasingly depend on efficient edge perception. A warehouse robot, autonomous mobile robot, inspection platform, drone or industrial machine may need to combine multiple cameras with other sensor inputs while maintaining predictable response times.

Hailo's vision-processing technologies provide building blocks for object detection, recognition, tracking and multi-camera workloads. Microchip adds complementary strengths in embedded control, security, connectivity, power management, sensor interfaces and system integration.

Together, these capabilities can help developers connect the AI and perception layer with the broader functions required in production machines. The result is a path toward robots that can perceive their environments locally, respond quickly and operate reliably in settings where cloud connectivity is limited or undesirable.

Bringing GenAI Closer to the User and Machine

Local GenAI can reduce latency, improve privacy and lower the need to continuously transmit data to the cloud. Relevant workloads include:

• Local language models
• Vision-language models
• Image and video search
• Semantic search
• Multimodal applications
• AI-assisted device interfaces
• Natural-language interaction with robots and industrial equipment

In robotics, these capabilities could help machines interpret richer instructions, connect visual observations with language and support more intuitive human-machine interaction. A worker could ask a machine to identify a component, describe an anomaly or locate a tool.

GenAI complements rather than replaces real-time control. Higher-level models may interpret instructions or scenes, while dedicated real-time software manages motion, safety and immediate responses.

Software and Ecosystem Matter

Hardware alone does not determine success in edge AI. Developers need runtimes, compilers, model support, examples, documentation and deployment tools.

Hailo's software ecosystem includes HailoRT, developer tools, model resources, open-source examples and application frameworks. Its toolchain supports the optimization and deployment of computer-vision and GenAI models on Hailo hardware.

This is especially valuable in robotics, where perception pipelines may combine detection, segmentation, tracking, pose estimation, visual-language models and application-specific logic. Reusable models and deployment tools can shorten the path from a laboratory prototype to a production machine-vision subsystem.

Hailo's integration with Raspberry Pi development platforms has also helped make edge AI experimentation accessible to developers, researchers and engineering teams. That ecosystem provides a practical entry point for evaluating vision and robotics workloads before moving to commercial designs.

A Broader Platform for Intelligent Embedded Systems

The acquisition expands our ability to address multiple layers of the embedded-AI system:

• Embedded control for sensing, actuation, power, safety and always-on functions
• MPU-based host processing for gateways, industrial controllers and connected systems
• Vision SoCs for camera-centric applications
• AI accelerators for efficient, low-latency inference across computer vision, transformer and GenAI workloads
• High-density edge solutions for multi-stream analytics
• Robotics processors for onboard vision, tracking, inspection, navigation, sensor fusion and human-machine interaction (roadmap)
• Software and development tools that help customers move from models to deployed products

The strategic value extends beyond adding products to a catalog. Microchip and Hailo together provide a broader path from embedded control to intelligent perception, local GenAI, scalable edge inference and autonomous-machine applications.

As AI moves closer to the sensor and the user, customers will increasingly value efficient, secure, supportable platforms over isolated performance claims. By combining our embedded-system reach with Hailo's specialized AI technology, the combined company is positioned to help define the next generation of intelligent cameras, industrial systems, robots, drones and autonomous edge devices.