Indian Forest Service officer N. Jayaraj spearheaded an AI-powered surveillance network along Tamil Nadu’s Madukkarai railway tracks, transforming a historically fatal collision zone into a safe migration corridor for elephants.
For a wild elephant migrating across the lush forests of the Western Ghats, a railway track is merely an artificial line cutting through its ancestral habitat. But for a heavy passenger or freight train travelling at high speed, that same stretch of iron rails can instantly turn into a lethal hazard.
For decades, this perilous reality haunted the Madukkarai Range within Tamil Nadu’s Coimbatore Forest Division. Passing through the Solakarai Beat and Bolampatti Block-I Reserved Forests, two major railway lines connect Tamil Nadu with Kerala, intersecting a critical elephant movement corridor.
Between 2008 and late 2023, at least eleven elephants, including vulnerable young calves, lost their lives in tragic collisions with speeding trains along this fatal stretch. Despite relentless round-the-clock foot patrolling by forest guards, physical barriers, and warning signs, forest staff frequently lacked the advance notice needed to spot herds emerging from dense foliage in the dark.
Recognizing that manual surveillance alone could not guarantee complete safety across pitch-black forest nights, a transformative shift toward technology-led preventive action was spearheaded by Thiru. N. Jayaraj, IFS, a 2013-batch Indian Forest Service officer of the Tamil Nadu cadre.
AI-Powered Early Warning System
Under Jayaraj’s leadership, the Tamil Nadu Forest Department collaborated with Southern Railways to pioneer a permanent technological shield for migrating herds. The State Government sanctioned ₹7.24 crore to install an Artificial Intelligence-based automated surveillance system covering a 7-kilometer vulnerable stretch along both railway lines (Line A and Line B). Constructed between March 2023 and early 2024, the project erected 12 strategic surveillance towers fitted with 24 high-definition optical and thermal night-vision cameras.
These specialized cameras continuously monitor a 150-meter buffer zone on either side of the railway tracks. While standard cameras offer visual confirmation during daylight, thermal imaging sensors detect the body heat signatures of large mammals even in thick fog, heavy rainfall, or total darkness.
The system’s core intelligence lies in its automated machine-learning algorithms. Rather than relying on human eyes to scan endless camera feeds, the AI automatically analyzes incoming video data in real time. The moment an elephant enters the monitored perimeter, the system instantly identifies the animal, flags the potential collision threat, and triggers automated emergency alerts.
Seamless Real-Time Coordination
Technology is only as effective as the human response network behind it. The automated alerts from the Madukkarai towers are transmitted instantly to a dedicated 24×7 joint control room operated by trained forest personnel and technical specialists. Upon receiving an AI alert, control room operators quickly verify the visual feed and contact field anti-poaching watchers and railway loco pilots operating on that section.
Loco pilots are instructed to reduce train speeds or pause briefly before reaching the crossing zone, while ground-level forest teams guide the elephant herd safely across the tracks into the adjacent reserve forest. This interconnected communication chain between artificial intelligence, forest guards, and locomotive crews ensures that warnings are converted into life-saving action within seconds.
Moreover, the vast accumulation of behavioral data captured by the camera network is helping wildlife researchers analyze herd movement patterns, crossing frequency, and seasonal migration habits, laying the groundwork for better long-term corridor management.
Zero Mortalities, National Recognition
The impact of Jayaraj’s tech-driven initiative has been nothing short of extraordinary. Since the system became fully operational, it has facilitated 1,698 safe elephant crossings with zero train-collision fatalities along the Madukkarai railway stretch. A location once notorious for heart-wrenching wildlife casualties has transformed into a global exemplar of peaceful coexistence between linear infrastructure and wild ecosystems.
In recognition of his visionary leadership, administrative push, and impactful execution, N. Jayaraj, IFS, has been nominated for the prestigious Eco Warrior Awards 2026 under the Best Use of Technology category.
The Logical Indian’s Perspective
The resounding success of N. Jayaraj’s AI surveillance project in Madukkarai proves that technological innovation can effectively solve some of our most complex human-wildlife conflicts. As India expands its railway networks and highways to support economic development, wildlife habitats are increasingly fragmented. The Madukkarai model demonstrates that infrastructure growth does not have to come at the cost of wild lives.
By combining early-detection technology with dedicated inter-departmental collaboration, Jayaraj has shown that foresight and innovation can turn lethal railway tracks into safe ecological passages. This project stands as an inspiring national blueprint for state governments and conservationists across India, proving that when human ingenuity is guided by empathy, our technological capabilities can protect the country’s rich natural heritage.
How can Indian Railways and State Forest Departments accelerate the installation of AI early-warning systems across all vulnerable wildlife transit corridors nationwide?
Also Read: 15,598 Hectares: How IFS S.V Ramarao Is Protecting Maharashtra’s Mangroves
