CIN: U27102TN2023PTC162066 IEC: AALCC1858J GSTIN: 33AALCC1858JIZH
Core Pillar B

Advanced Technology Education & CoE Enablement

Transforming polytechnics and engineering universities into hubs of applied research. We supply verified developer hardware, industry-standard training, and contest-winning R&D mentorship.

Infrastructure

Turnkey Centers of Excellence (CoE) Setup

Institutions often struggle to translate academic engineering syllabi into employable skills. Capatrans designs, equips, and commissions complete laboratory setups spanning three critical domains:

Drone Technology & Flight Dynamics Lab

Equipped with flight simulation rigs, carbon-fiber frame assembly stations, ESC calibration benches, and telemetry diagnostic modules.

Autonomous Robotics & Mechatronics Lab

Featuring educational mobile rovers, multi-axis robotic arms, digital motor controllers, and sensor testing suites.

Industrial IoT & Telemetry Lab

Outfitted with microcontroller dev boards (ESP32, Arduino, Raspberry Pi), Modbus modules, and sensor communication kits.

Academic CoE Deliverables

  • Complete Hardware Provisioning: Complete benches with oscilloscopes, component bins, flight controllers, and sensors.
  • Standard Operating Procedures: Safety guidelines, laboratory manuals, and structured multi-semester project schedules.
  • Faculty Development Programs (FDP): Hands-on technical masterclasses for engineering professors delivered by our certified trainers.
  • Student Hackathon Mentorship: Direct guidance to build patentable prototypes and contest-winning entries.
Certified Curricula

Hands-On Practical Training Programs

Courses conducted by certified drone trainers and industrial power plant automation specialists.

UAV Assembly & ArduPilot Tuning

Comprehensive drone engineering: airframe dynamics, motor thrust calculations, PX4/ArduPilot flight firmware flashing, and DGCA regulatory safety standards.

Embedded Microcontroller Engineering

Hardware interfacing in C/C++: mastering GPIO, I2C, SPI, UART, and timer interrupts on ESP32, Arduino, and Raspberry Pi platforms.

Applied Machine Learning & Edge Vision

Computer vision pipelines using OpenCV, object detection model quantization, and local execution on embedded Linux edge devices.