Forklifts play a critical role across multiple industries, from manufacturing to warehousing, logistics to construction. However, the advantages they bring can easily turn into serious risks if proper precautions are not taken. In this article, we summarize the most common forklift accidents worldwide and explore how AI-powered video analytics can help prevent them.
Forklift accidents pose significant risks in industrial and logistics environments due to the sheer weight, power, and operational dynamics of these vehicles. A standard forklift can weigh several tons and, combined with its high center of gravity, limited maneuverability, and restricted visibility, accidents such as tip-overs, collisions, or falling loads can quickly escalate into life-threatening incidents. Beyond the immediate danger to operators, these accidents often occur in shared workspaces, putting nearby personnel and critical infrastructure at risk. This combination of factors makes forklift safety a critical priority for any organization aiming to protect its workforce and ensure operational continuity.
Causes: Operator negligence, poorly marked floors or pathways.
Prevention: Clear floor markings, physical barriers, and scheduled rest breaks.
Causes: Operator negligence, poorly marked floors or pathways.
Prevention: Clear floor markings, physical barriers, and scheduled rest breaks.
Causes: Sharp turns at high speed, unbalanced loads, or sloped surfaces.
Prevention: Keeping the load low, avoiding fast turns.
Causes: Rushing, improper usage.
Prevention: Careful movement, proper equipment, and protective systems.
Causes: Rushing, improper usage.
Prevention: Careful movement, proper equipment, and protective systems.
Causes: Improper load placement, bent or misaligned forks.
Prevention: Centering the load, limiting speed, keeping forks stable.
Causes: Neglecting training costs.
Prevention: Certified courses and comprehensive operational guidelines.
Causes: Neglecting training costs.
Prevention: Certified courses and comprehensive operational guidelines.
Causes: Carrying loads too high, environmental obstructions.
Prevention: Carrying loads at a low level, using spotters, slowing down during wide turns.
Causes: Worn-out tires, brake failure, leaks.
Prevention: Daily inspections, regular maintenance, and banning the use of faulty equipment.
Causes: Worn-out tires, brake failure, leaks.
Prevention: Daily inspections, regular maintenance, and banning the use of faulty equipment.
Artificial intelligence and video analytics systems are playing an increasingly critical role in preventing forklift-related accidents. Below are some of the key ways the AI-powered video analytics platform IRIS+ provides safety solutions:
AI-powered video analytics can automatically detect events such as “pedestrian entering restricted zones,” “near misses,” “falling loads,” or “behaviors causing visual obstructions.” Once detected, the system sends instant alerts to both operators and safety managers. This enables preventive action instead of post-incident investigation.
When integrated with IoT devices, IRIS+ continuously monitors the real-time positions of forklifts and pedestrians. If a hazard is detected, the system can trigger automatic forklift slowdown or stop commands, while simultaneously providing visual and auditory alerts to operators and nearby staff. By integrating video analytics into critical production workflows, automation can intervene before human response, effectively preventing potential accidents.
Platforms like Irisity and IRIS+ analyze forklift movements and environmental conditions in real time using AI. Alarms are triggered in cases of overspeeding, approaching blind spots, or close contact with pedestrians and other forklifts—enabling instant corrective action. These systems can reduce collisions by up to 75–85%.
RIS+ instantly detects blind spots and pedestrians around forklifts. When a risky maneuver, close proximity, or potential pedestrian collision is identified, the system immediately sends visual and auditory alerts to both the operator and site management. Because IRIS+ works on existing camera infrastructure without requiring new hardware investments, it provides a cost-effective and fast safety upgrade—particularly valuable for warehouses and production facilities.
Additionally, risky operator behaviors such as overspeeding, harsh braking, or careless driving are recorded and reported, helping shape long-term safety training programs. Instead of only reviewing incidents after they occur, IRIS+ ensures that preventive measures are taken before accidents happen.
IRIS+ automatically records and analyzes near-miss events using existing camera infrastructure. This enables businesses to monitor not only actual accidents but also potential hazards. The collected safety data allows for detailed analysis of operator behavior and the adaptation of training programs based on real insights. As a result, businesses can achieve instant safety on the field while building a stronger long-term safety culture.
While forklifts are indispensable for business operations, they also pose significant risks without the right precautions. Today, AI-powered video analytics solutions not only document risks but also proactively generate alerts before accidents occur, fundamentally transforming workplace safety. Technologies like IRIS+, which can be seamlessly integrated into existing camera systems, provide businesses with low-cost, high-impact safety improvements and help turn the vision of “zero workplace accidents” into reality. This approach ensures workplaces are not only safer but also more efficient and sustainable.