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Unleash Real-Time

LiDAR Intelligence

With On-Chip Point Cloud AI

Accelerating LiDAR Point Cloud with BrainChip’s AkidaTM
PointNet++ Model.

The Essential Role of LiDAR Point Cloud AI

For next-generation robotics, automotive systems, and intelligent infrastructure, LiDAR point cloud analysis is the gold standard for spatial perception—enabling devices to instantly interpret complex, three-dimensional environments.

What Is a LiDAR Point Cloud?

A LiDAR point cloud is a collection of 3D data points captured by laser pulses. Unlike 2D images, it creates a detailed digital model of a space, rich with geometric information for analyzing infrastructure and natural features—making it invaluable for applications that demand precise spatial awareness.

From LiDAR Data to Instant Action:

The Edge AI Imperative

Edge AI is transforming LiDAR point cloud analysis with on-device processing, turning massive datasets into instant decisions. Traditional LiDAR depends on cloud processing, introducing delays that limit responsiveness.

By cutting latency, Edge AI enables real-time decisions—critical for autonomous driving and smart robotics, where milliseconds can mean the difference between safety and risk.

Transforming Industries With

Intelligent LiDAR Point Cloud

1. Autonomous Vehicles & Drones
Precision navigation, obstacle detection, and environmental mapping from raw 3D scans.

2. Industrial Automation
Real-time asset location, safety monitoring, and process control in large facilities.

3. Smart Cities & Infrastructure
Scalable urban planning, traffic management, and infrastructure inspection using direct 3D analysis.

4. Security & Surveillance
3D scene understanding for perimeter security and anomaly detection.

5. Robotics & Warehousing
Advanced pick-and-place, navigation, and inventory control with spatial intelligence.

Introducing BrainChip’s Akida
PointNet++ Model for LiDAR Point Cloud

Smarter, Faster, More Efficient 3D Understanding

Akida PointNet++ builds on the original PointNet with a hierarchical design that captures both local detail and global context, boosting accuracy on sparse, large-scale LiDAR data while maintaining BrainChip’s efficiency for low-power edge deployment.”

Introducing BrainChip’s Akida
PointNet++ Model for LiDAR Point Cloud

Smarter, Faster, More Efficient 3D Understanding

BrainChip’s Akida PointNet++ model is a compact, neuromorphic-friendly deep neural network that performs real-time classification of 3D LiDAR point clouds directly at the edge. Akida PointNet++ works natively on sparse, unordered point sets without converting point clouds into grids or images, making it both efficient and precise.

How It Works

Inside Akida’s Lidar Intelligence

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1. Input Point Cloud

The process begins with raw 3D data from a source such as LiDAR or 3D CAD models. (Our model was trained on the ModelNet40 dataset, but it can be applied to diverse point cloud datasets.)

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2. Preprocessing Point Cloud Data

On the host processor, representative points and groups are selected by region, keeping critical details while reducing unnecessary data.

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3. Hierarchical PointNet++ Backbone

Learns from both fine-grained local structures and the overall shape, building a deeper understanding of complex 3D data.

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4. Classification

Instantly assigns the object to the correct category — enabling fast, accurate recognition at the edge.

Akida LiDAR logo (1)
Akida LiDAR logo

Akida PointNet++ builds on the original PointNet with a hierarchical design that captures both local detail and global context, boosting accuracy on sparse, large-scale LiDAR data while maintaining BrainChip’s efficiency for low-power edge deployment

The Akida PointNet++ Benefits

Ultra Low Power icon

Energy Efficient Operation

Consumes milliwatts—ideal for battery, always-on, and field deployments.

Preconfigured

Ultra-Compact Design

Runs efficiently, even on memory-limited edge devices.

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Sparsity-Driven Efficiency

Processes only the most meaningful LiDAR data points, reducing computational waste and enhancing model accuracy.

Reliable Temporal Analysis

Real-Time Responsiveness

Selective data handling delivers instant decision-making for streaming applications and continuous operation.

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Always-On Intelligence

Efficient enough for continuous edge deployment, Akida powers smarter monitoring and automation even in constrained environments.

How to Get Started With
Akida PointNet++ Model

Transform your product vision into reality with our comprehensive
development ecosystem:

Essential Tools & Packages

Essential Tools & Packages - Diagram
  • Convert and optimize your models for Akida deployment
  • Streamline the development pipeline from training to production

Akida Cloud
Platform

  • Test and validate model performance without hardware
  • Benchmark your specific use cases and requirements
Akida Cloud logo

Akida Cloud
Platform

  • Test and validate model performance without hardware
  • Benchmark your specific use cases and requirements
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Akida Enablement
Package

  • Access hardware environment for final testing and optimization
  • Complete development support and documentation
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Ready to Integrate Intelligent LiDAR Processing
Into Your Next Product Design?

Download the complete PointNet++ Model Technical Guide and explore how Akida can power your next-gen LiDAR applications.