AI Enabled EO Target Detection and Fire Control Solution
Hq Army Training Command
Hq Army Training Command is hiring a AI Enabled EO Target Detection and Fire Control Solution intern in Ganjam (1 openings listed). The details below summarise the employer's own Internshala posting; applications happen on Internshala, not on GetFirstJob.
About Hq Army Training Command
The employer has not added a company description to the listing.
What the work involves
- Dataset Preparation: A comprehensive collection of daytime and thermal images and videos of drones, with annotations identifying their locations. The dataset should also include birds, aircraft and background clutter to improve classification accuracy and minimise false detections.
- Target Detection and Classification: An AI-based model capable of detecting drones in live camera feeds and distinguishing them from other objects in real time. The model should be optimised to operate on compact computing devices such as NVIDIA Jetson for field deployment.
- Multi-Target Tracking: A tracking system capable of monitoring multiple drones simultaneously, maintaining their individual identities even when their flight paths intersect, and prioritising them based on proximity, speed, and movement patterns.
- Locating the Target in the Sky: A system that converts the drone's position in the camera frame into real-world directional coordinates, accounting for camera movement. The target's distance should also be estimated using a laser rangefinder or suitable image-based techniques.
- Movement Prediction: A system that analyses the drone's speed, direction, and trajectory to estimate its future position. It should provide movement forecasts to help operators assess potential risks and monitor changing flight paths.
- Operator Display: An intuitive interface displaying live camera feeds, highlighted drone detections, tracked-target information and directional indicators. Operators should be able to select targets, review alerts and retain manual control at all times.
- Testing and Validation: The system should be evaluated using recorded videos, computer simulations and real-world camera footage. Its performance should be measured based on detection range, classification accuracy, response time, tracking reliability, and positional estimation accuracy.
What the employer asks for
- Skills the listing names: C++ Programming, Computer Vision, Deep Learning, Object Oriented Programming (OOP), Python, PyTorch
Pay, location and application
The listing states the stipend as: ₹ 75,000 per month. The role is based in Ganjam. The internship runs for 3 months. The source page shows a relative posting age ("Posted 2 days ago") rather than an exact posting date; this role was first seen on 8 November 2026 on Internshala and shows an apply-by date of 10 Nov' 26, and it was checked as open on 8 November 2026.
How to apply
Apply on the listing where the employer published this role: AI Enabled EO Target Detection and Fire Control Solution at Hq Army Training Command. We found this listing on Internshala (internshala.com), where it was still open when we checked on 8 November 2026. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. Never pay a fee to apply or interview; a genuine hiring process does not charge candidates.
Explore more openings on GetFirstJob
- More Engineering roles
- [Jobs in Ganjam](/location/ganjam/]
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