Ajile Light Industries
"Fast. Focused. Flexible."
Ottawa-based maker of high-speed structured-light 3D imaging and DMD controllers for metrology-grade inspection, machine vision and robot guidance.
Ajile Light Industries is a Canadian developer and manufacturer of high-speed 3D imaging and digital micromirror device (DMD) control technology based in Ottawa, Ontario. Its flagship DepthScan platform is a structured-light 3D camera that captures up to 4 million full-color 3D points per scan in roughly 400 ms (2.5 Hz), reaches 30 fps at full ROI and 100+ fps with reduced ROI in high-speed mode, and delivers metrology-grade accuracy verified per VDI/VDE 2634 Part 2 (sphere-spacing accuracy in the tens of microns at 500 mm working distance). The DepthScan family includes the flagship DepthScan 3D, an autofocus DepthScan-AF model covering working distances from 25 cm to 500 cm, and configurable 3D inspection cells deployable offline, beside-line or inline. Systems offer full-color and 840 nm NIR imaging, LED-based structured light (no laser eye-safety hardware required), multi-camera stitching, robot-space calibration, ROS integration, and a bidirectional PolyWorks plugin so inspection runs inside existing QC workflows.
The company also supplies OEM and R&D DMD products, including the AJD-4500 scientific controller and AJP-4500 projector for the 0.45-inch DMD (912x1140 micromirrors), with full GUI and SDK, per-frame timing/lighting control, and low-latency I/O triggering. All software runs on Windows and Linux (Ubuntu). Hardware and software are designed and built internally, enabling broad customization. Customers and research users cited include Lockheed Martin, GE Appliances, Panasonic, Denso Wave, MIT, and NTU Singapore.
Applications span quality inspection, metrology, machine vision, high-speed inline inspection, bin picking and robotic guidance.
Primary type & automation activities this supplier delivers:
DepthScan 3D
Full-color structured-light 3D camera capturing 4M color 3D points per scan with metrology-grade accuracy.
DepthScan-AF
Autofocus 3D capture system refocusing in software across working distances for bin picking and robot control.
DepthScan Inspection Systems
Configurable 3D inspection cells with native PolyWorks integration, pass/fail in seconds, offline to inline.
AJD-4500 DMD Controller
Scientific high-speed controller for 0.45-inch DMD with per-frame timing and low-latency I/O triggering.
Contact Ajile Light Industries
WEBSITE
https://ajile.ca/HEADQUARTERS
Canada
Company Facts
Founded
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Primary Role
Manufacturer
Company Size
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Primary Region
North America
Annual Sales
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Funding Stage
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Funding Total
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Keywords
New 'SANDO' System Keeps UAVs Safe from Collisions in Wildfire Areas
The 'SANDO' system enhances the safety of uncrewed aerial vehicles (UAVs) by ensuring their flight paths remain collision-free, particularly in hazardous environments like wildfires. This technology is crucial as UAVs are often deployed to gather vital information in such dangerous situations, where they face risks from sudden flare-ups and falling debris. The importance of the 'SANDO' system lies in its ability to protect UAVs from potential damage during operations in uncharted territories. By avoiding collisions with obstacles such as tree branches, the system allows for safer data collection, which is essential for rescuers responding to wildfires. This advancement could significantly improve the effectiveness of UAVs in emergency response scenarios. Looking ahead, the implementation of the 'SANDO' system could lead to broader applications of UAVs in various challenging environments. As the technology develops, stakeholders will be keen to observe its impact on UAV operational safety and efficiency in disaster response efforts. No further timeline was disclosed at the time of publication.
Robotics
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Research Computer science and technology Algorithms Drones Robotics Autonomous vehicles
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Artificial Intelligence Artificial Intelligence / Cognition Assembly Human Robot Interaction / Haptics Manufacturing Microprocessors / SoC
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AI Applications C-UAS Defense defense Drone News
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Artificial Intelligence Artificial Intelligence / Cognition Cameras / Imaging / Vision Design / Development Manufacturing News
Epson Showcases Color Labeling and Robotic Automation at PACK EXPO 2026
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NVIDIA GTC 2027 – San Jose, Mar 15–18, 2027
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OpenAI's GPT-6 Astra Dominates SuperCLUE's Robot-Brain Benchmark with Planning Superiority
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OpenAI China
Robotics and Physical AI Addressing Key Physical Security Challenges in 2026
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Artificial Intelligence Artificial Intelligence / Cognition Automotive Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision Manufacturing
RobotToday Weekly September 28 – October 2, 2026
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Safety Considerations Will Shape the Future of Humanoid Robots
In a recent discussion, Rick Balzano, Vice President of Go-to-Market for AI Services, Safety and Robotics at TaskUs, highlighted the critical work required to make humanoid robots reliable. He emphasized that unlike large language models, which operate on digital data, humanoid robots must navigate and interact with the physical world, necessitating extensive real-world data collection and validation. Balzano pointed out that while humanoid robots are often marketed as versatile workers, they currently remain highly specialized machines disguised in human-like forms. He noted that significant advancements have been made in areas such as locomotion and perception, but the gap between demonstration and real-world application is substantial, often involving controlled environments and remote assistance. Looking ahead, the industry must focus on bridging this gap to enhance the reliability of humanoid robots. Balzano's insights underscore the importance of safety and data integrity in developing robots that can operate effectively in diverse environments. No further timeline was disclosed at the time of publication.
AI and Robotics Innovation
Ouster and Seneca Enhance Wildfire Drones with Advanced 3D LiDAR Technology
Ouster and Seneca have partnered to integrate Ouster’s Rev8 OS1 Max digital LiDAR into Seneca’s autonomous wildfire-response drones. This collaboration aims to enhance the drones' ability to perceive and navigate challenging environments, particularly during wildfires where visibility is often compromised. The integration of LiDAR technology allows Seneca's drones to create detailed 3D representations of their surroundings, improving their operational capabilities in various missions such as cargo delivery, terrain mapping, and infrastructure inspection. The Rev8 OS1 Max sensor, known for its high resolution and range, provides critical information for obstacle detection and flight path adjustments, essential for safe autonomous operations. As the demand for autonomous aircraft in emergency response grows, the partnership underscores the importance of advanced perception systems in ensuring safety and efficiency. No further timeline was disclosed at the time of publication.
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