Ai-Edge Computer SLAMer: Onboard Computing

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Short Description

Ai-Edge Computer SLAMer is an advanced SLAM engine that enhances real-time navigation and obstacle avoidance for drones and autonomous vehicles in aviation, utilizing AI-powered edge computing for precise, cloud-independent operations in challenging environments.

Description

About Us

At VOLOLAND, we’re passionate about redefining what’s possible with drone technology. As specialists in Drone Stations and Tethering Systems, we’re constantly pushing the boundaries through innovative product development. Our team thrives on blending advanced technology with expert engineering to craft smart drone solutions that truly meet the diverse needs of our customers.  

We're not just about technology—we’re committed to building relationships based on honesty, trust, and shared growth. By fostering an open and collaborative culture, we stay adaptable and ready to tackle new challenges in an ever-evolving global market. With a focus on customer satisfaction, ethical management, and a spirit of co-prosperity, VOLOLAND is dedicated to driving the drone industry forward.  

Ai-Edge Computer

In the context of AI edge computing, SLAMer refers to a Simultaneous Localization and Mapping (SLAM) engine. SLAM is a computational problem used in robotics and AI where a system (such as a robot, drone, or autonomous vehicle) creates a map of an unknown environment while simultaneously keeping track of its own location within that environment. A SLAMer typically refers to a specialized component or software engine designed to perform these SLAM tasks efficiently.

 Key Aspects of a SLAMer:

1. Localization: The system determines its precise position in an environment by processing sensor data (e.g., from cameras, LIDAR, or other onboard sensors).

2. Mapping: As it moves through the environment, the SLAMer constructs or updates a map of the surroundings in real-time, which is essential for navigation and obstacle avoidance.

3. Real-Time Operation: SLAMers are designed for real-time processing, meaning they continuously process input from sensors while performing calculations to ensure both the map and location remain accurate.

4. AI Integration: In many modern systems, SLAM algorithms are combined with AI to improve decision-making, object recognition, and obstacle avoidance. This is particularly important in edge AI applications where computations are handled locally without needing to rely on the cloud.

 Common Applications of SLAMer:
 Autonomous Drones and Vehicles: SLAM allows drones to navigate unknown environments, avoid obstacles, and deliver goods or capture surveillance footage without pre-programmed maps.

Robotics: In autonomous robots, SLAM helps the robot move through and interact with its environment effectively, such as in warehouses or manufacturing settings.

Augmented Reality (AR): SLAM enables AR devices to understand and map the physical world in real-time, aligning virtual objects with real-world environments.

Indoor Navigation: SLAM is often used in environments like factories, warehouses, or even homes, where GPS signals may be weak or unavailable.

 Edge AI and SLAMer:
When integrated into AI edge computers, SLAMers can operate independently of cloud services, allowing devices to function in remote or disconnected environments. They are crucial for applications where real-time, precise mapping and navigation are essential for safety and operational efficiency.


Specifications

  • Manufacturer
  • Global
  • Aerial Photography, Archeology & Monuments, Construction & Real Estate, Disaster Management / First responders, Drone Delivery, Education, Environment & Wildlife, Forestry & Agriculture, Healthcare & Humanitarian Aid, Infrastructure & Transport, Insurance, Leisure & Hobby, Mining & Exploration, Others, Power & Utilities, Science & Research, Security & Law Enforcement, Supply Chain & Logistics, Surveillance & Mapping, Urban planning, Water Management
  • Air, Land
  • Autonomous, Beyond Visual Line of Sight (BVLOS), Extended Visual Line of Sight (EVLOS), Line of Sight (LOS), RPAS
  • Autonomous, Blimps, Fixed Wings, Rotary Drones, Tethered, VTOL
Vololand Ai-Edge Computer SLAMer

Ai-Edge Computer SLAMer: Onboard Computing

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Vololand Ai-Edge Computer SLAMer

Ai-Edge Computer SLAMer: Onboard Computing

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Vololand

Hardware

Hercules Cargo Drone, Mars Tethered Drone, VLS SION Docking Station, VLS Theo Docking Station, Flight Controller Narin FC & Narin FC T1, SLAMer Ai Edge computer

Manufacturer

Construction & Real Estate, Drone Delivery, Power & Utilities, Forestry & Agriculture, Surveillance & Mapping, Mining & Exploration, Security & Law Enforcement, Environment & Wildlife, Disaster Management / First Responders, Infrastructure & Transport, Science & Research, Others, Healthcare & Humanitarian Aid, Urban Planning, Supply Chain & Logistics

South Korea

East Asia & Pacific, Europe & Central Asia, Latin America & Caribbean, Middle East & North Africa, North America, South Asia, Sub-Saharan Africa

VOLOLAND is a specialized smart drone solutions company that focuses on Drone stations and Tethering systems as its main products. We are continuously driving product development based on advanced technology and specialized engineering capabilities to meet the diverse needs of our customers.

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Vololand Ai-Edge Computer SLAMer
Ai-Edge Computer SLAMer: Onboard Computing
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